B) The correlation coefficient with car 12 included. Again, the problem is the big engine. (c) The correlation is not significant. Complete parts (a) through (f) below. V:[-0G|-Z@>=O1\GzJ= wAZ 7zb.Pi}c_t8t]q=YM:@NT#dLm,fnjZa>=cOm xYQ= m} RRO% B;:n`uY{]xtD a>B{de# RrH$Cw m&Oe@nh"U`& Trip Distance B) H and R have a low correlation but both have significant coefficients. - The dependent variable is the explanatory var. A. 0000088650 00000 n For every pound added to the weight of the car, gas mileage in the city will decrease by mile(s) per gallon, on average. Acura TSX 23 3,320 Lexus IS 300 18 3,390 b. c. The error term does not have the normal distribution. The short answer: yes. 12.37 (a) Based on the R2 and ANOVA table for your model, how would you assess the fit? Should You Get Car Parts at the Dealership? has a weight within the range of the other cars' weights. Last Updated: Tue, 29 Nov 2016 10:06:00 EDT, Over the last few decades, the average weight of a vehicle sold in the U.S. climbed steadily after surviving the oil embargoes of the 1970s. 0000001962 00000 n a. - The regression line minimizes the sum of the squared errors. The Antibiotic Resistance Crisis Has a Troubling Twist. Buick Rendezvous 18 4,230 Mazda 6 19 3,355 1) Excel finds the Pearson Correlation Coefficient using the fx function Correl. What factors affect your MPG? He claimed that this particular car got 29 mpg. a) 0.8 to 1.0 b) 0.6 to 0.8 c) 0.2 to 0.4 d) 0 to 0.2, Consider the following regression equation between Y and X: Y = 4.622X - 100. The following data represent the weight of various domestic cars and their gas mileage in the city for the 2005 model year. explanatory variable response variable b) Draw a scatter diagram . Final answer. I removed any hybrid vehicles and vehicles that I had never heard of. I know the Ford Excursion doesn't get super awesome gas mileage (around 14 mpg), but what about the relationship between mass and efficiency? b. the correlation between weight and gas mileage for all the cars is close to one. a) 0.1 b) 1.0 c) 10.0 d) 100.0, When analyzing the slope in a regression analysis (i.e., the relationship between the dependent variable and one of the independent variables), which of the following would be a Type II error? The correlation between mileage and speed is r = 0. (b) The intercept is 4.62 mpg. Click here to view the car data. = .05. b) Calculate a 95% prediction interval for the average highway mileage for cars with a curb weight equal to the weight of the Cadillac after his family is inside. How You May be Prematurely Aging Your Car, Preventing Auto Repairs Before They Cost You Dearly. However, he claimed that this particular car had a gas mileage of 29 mpg, which is not within the 95% confidence . c. In negatively skewed distributions, the mean is usually greater than the m. Compute the correlation for the following data. The table below presents data from the 1975 volume of Motor Trend concerning the gasoline mileage performance and the engine displacement for 15 automobiles Fit a regression model relating mileage per A recent study found that for every 100-kg reduction, the combined city/highway fuel consumption could decrease by about 0.4 L/100 km for cars and about 0.5 L/100 km for light trucks (MIT 2008). Which of the following statements about the correlation coefficient are true? What is the value of the coefficient of correlation? 2. B. c. D. (c) Compute the linear correlation coefficient between the weight of a car and its miles per gallon. a. But they also hold genetic benefits for species. (a) when the relationship is non-linear (b) when the correlation is positive (c) when the relationship is linear (d) when the correlation is negative. Complete parts (a) through (d) below. 0000404223 00000 n The correlation coefficient, r = -1, implies a. The answer to that question wasThe 95% confidence interval estimate for the gas mileage for the Cadillac is 20.68 to 23.56 mpg. (a) Determine which variable is the likely explanatory variable and which is the likely response variable. How Fiber Optic Cables Could Warn You of an Earthquake. (b) Draw scatter diagram of the data Choose the correct scatter plot Weight Miles per Car (pounds) Gallon 3565 4000 40004 3680 1 1 655 25004 2500+ Check your in-box to get started. Give examples with your response. Which of the following can cause the usual OLS t statistics to be invalid (that is, not to have t distributions under H_0)? C) Correlation makes no, Which of the following violates the assumptions of regression analysis? Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. 0000367230 00000 n At Last, the Milky Way Gets a Better Close Up. O c. does not follow the overall pattern of the data. Determine whether the correlation coefficient is an appropriate summary for the scatter-plot and explain your reasoning. Another bowl. 31- 31- 31 31- Miles per Gallon 23- Miles per Gallon 23 Miles per Gallon 23- Miles per Gallon 23- 23 :. Select all that apply. My first guess was that with a larger mass, you have to use more energy to get the vehicle up to speed. this giant list of 2009 cars with their listed fuel economy ratings. Which of the following statements is correct? T ~ (Round to three decimal places as needed:). There is some spread, but we can discern a pattern: Dots to the right in the graph tend to be placed lower. Engines in today's automotive vehicles come in different sizes and number of cylinders depending on the vehicle size and weight or the work the engine is expected to do. B. Your gas consumption depends on a range of factors. Why indeed? Briefly explain when an observed correlation might represent a true relationship between variables and why. Why do big cars get bad mileage? Thus, we can say that the salesman was stretching the truth. ) The corresponding fuel cost savings are Jaguar XJ8 18 3,805 VolvoC70 20 3,690 a. A positive residual means that the car gets better gas mileage than the model predicts for a car with that much horsepower. c. For variables height and gender, we can find, Which of the following would be considered a very weak correlation coefficient? Click the icon t0 view the critical values table b. Combining the weight of the editor's new Cadillac and his family, provide an estimate for the gas mileage the editor should expect to get on a trip to visit these relatives. B. A) The x-variable explains 50% of the variability in the y-variable. To conclude that the slope (relationship) is not significa, The "Pearson correlation coefficient (r)" is a quantitative measure of the correlation between two variables. b. 0000086067 00000 n c. there has been a measurement error. Question 9 30 seconds Q. (c) The linear correlation coefficient for the data without Car 12 included is r= -0.968. 12.35 Use Excel, MegaStat, or MINITAB to fit the regression model, including residuals and standardized residuals. Be specific and provide examples. O A. <> EPA provides IRS with the fuel economy data for vehicles which may be subject to the Gas Guzzler tax penalty. 0000086420 00000 n Compute the linear correlation coefficient between the weight of car and its miles per gallon. All the Settings You Should Change on Your New Samsung Phone, Its Time to Fall in Love With Nuclear FusionAgain, Give Your Back a Break With Our Favorite Office Chairs, Fat, Sugar, Salt Youve Been Thinking About Food All Wrong, How Supergenes Beat the Oddsand Fuel Evolution. Everyone loves data. Each of the following statements contains a blunder. became significantly further from 0 (f) Why does this observation not follow the pattern of the data? The correlation between a car's engine size and its fuel economy (in mpg) is r = -0.8476. a) Omission of important variables. Here is the data, if you want it. 0000403945 00000 n did not change significantly Choose the correct answer below. A. The second is increased wind resistance. a. c. The error terms decrease as x values increase. Explain in each case what is wrong. a. Autocorrelation or serial correlation b. Homoscedasticity c. Multicollinearity d. Heteroscedasticity e. Any of the above, If the dots of a scatter plot seem to be randomly distributed across the graph, what can we conclude out of the following? You'll get a detailed solution from a subject matter expert that helps you learn core concepts. Choose the correct graph below. The editor just purchased a Cadillac Sedan DeVille which weighs 4,012 pounds. miles per gallon, Complete parts (a) through (d). b. Why are the results here reasonable? That amount doesn't even cover the weight of two fully grown men. A major new UN report says weve ignored the role of environmental degradation in fueling the superbugs that kill 1.27 million people each year. Find combinations of statements that are correct. 2003-2023 Chegg Inc. All rights reserved. When two things are highly correlated, one causes the other. stream BrainMass Inc. brainmass.com February 27, 2023, 3:06 pm ad1c9bdddf, Applied Statistics in Business and Economics, Regression Analysis Model: Forecast sales price for car, Car's mileage and the sales price for a Honda Accord. (d) Comment on the type of relation that appears to exist between the weight of a car and its miles per gallon in the city based on the scatter diagram and the linear correlation coefficient. 0000220226 00000 n a. You may order presentation ready copies to distribute to your colleagues, customers, or clients, by visiting https://www.parsintl.com/publication/autoblog/, Warren Buffett's Berkshire Hathaway quietly made a $8.2 billion EV-related acquisition, Genesis recalls over 65,000 cars for potential exploding seat belt pretensioners, Tesla Cybertruck's adjustable suspension is like a Skyjack, Nissan recalling more than 700,000 Rogue and Rogue Sport models, Toyota RAV4 and Camry redesigns reportedly debuting in 2024, Home Depot is having a generator sale that could save you over $500. Car Weight (pounds) Miles per Gallon A 2690 26 B 3100 21 C 3985 18 D 3590 18 E 3475 20 (a) Compute the linear correlation coefficient between the weight of a car and its miles per gallon. a. If so, what does it mean? GMC Envoy 15 4,660 Subaru Baja 21 3,575 i.e., linear vs. non-linear. 0000367559 00000 n The EPA city test includes idling, but more idling will lower MPG. . copyright 2003-2023 Homework.Study.com. (b) Interpret the p-value for the F statistic. 0000087617 00000 n (a) Determine which variable is the likely explanatory variable and which is the likely response variable. Below is a guide on how to repair an aluminum radiator. Identify any statistical errors. B. There is a correlation of 0.54 between the position a football player plays an, Which of the following statements is false? II. The x-variable explains 25% of the variability in the y-variable. became significantly closer to O A. Which one could be true? Our experts can answer your tough homework and study questions. B. OC. 2003-2023 Chegg Inc. All rights reserved. investing millions in the production of carbon fiber. )HVX(j(L3/WB]';.+l}^c(/CqbZ6/0h": H_H~A3ep>/~Z+]~^7u]-YL'W1_Q8& /:6`;N\}Zq9YI4S9,R9. B. b. Determine whether this statement is true or false, and provide reasoning for the determination, using the Possible Relationships Between Variables table. %%EOF Car Miles per Gallon Car 1 19 Car 2 17 Car 3 21 Car 4 22 Car 5 27 Weight (lbs) 3,765 3,944 3,590 3,175 2,580 3,730 2,605 3,772 3,310 2,991 2,752 Car 6 18 Car 7 26 Car 8 17 Car 9 20 Car 10 25 Car 11 26 Learn the correlation definition and what types of correlation there are. OD. Mass isn't the only thing that limits the fuel efficiency. did not change. An engineer wanted to determine how the weight of a car affects gas mileage. Determine the coefficient of determination. Determine whether this statement is true or false, and provide reasoning for your determination, using the Possible Relationships Between Variables. A. Which of the following statements regarding the coefficient of correlation is true? c. Adding the multiplication. His previous car was a Toyota Camry which weighs 3,241 pounds.. a) The editor often takes his entire family to visit relatives in a nearby state. What else could produce a strong correlation? In automotive-mechanical term it refers to "Cylinder Capacity". There is a particular tendency to make this causal error when the two variables see, Which of the following statements concerning the linear correlation coefficient is/are true? The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. 0.9583 c. -0.9583 d. 0.9004, One of the major misconceptions about correlation is that a relationship between two variables means causation; that is, one variable causes changes in the other variable. b. Explain how the two correlations differ. iPad. As x increases, y decreases, and the correlation coefficient must be positive. Stretches of DNA that lock inherited traits together often accumulate harmful mutations. b. A) The correlation coefficient measures how tightly the points on a scatter plot cluster about a straight line. Fuel efficiency, sometimes referred to as fuel economy, is the relationship . Be specific and provide examples. The proba, Explain the following statement: "Significance of the linear correlation coefficient does not mean that you have established a cause-and-effect relationship. What does this say about the usefulness of the regression equation? Correct Answer (a) The slope is 1.109. An engineer wanted to determine how the weight of a car affects gas mileage. Hyundai Elantra 24 2,880 Toyota Matrix 26 2,985 The following statements are either misleading or contain one or more errors relating to correlation. D. Car 13 is a hybrid car, while the other cars likely are not. This is not statistically meaningful, because this would represent the highway mileage for a car 0 If which of the following statements is correct if (Do not calculate a t-value: Hint - use the Critical Values of the PPMC - table, The following statements are about a standard deviation of residuals. I. (b) A confounding factor must be independently associated with. HW-GWUY-`d5|d]=sG fq*/~/}Iof{4n3o9cZ2^ZZoy/sT'lXk;|j}{.8 Gy/^cgx~z}@M {l[pT4lD&|l ./{Nq@_P a> =V} For cases like this, I just took the first reasonable number I found. Complete parts (a) through (f) below. No, there is no correlation. R Square 0.6809 While it is generally accepted that fuel consumption (gallons per mile) increases more or less in proportion to weight, a direct proportionality between fuel consumption and weight means that the unit fuel consumption, in gallons per pound-mile, will be constant. 0000367625 00000 n The degree to which the regression equation of X and Y is better at predicting the dependent variable than the average of Y. b. Mass isn't the only thing that limits the fuel efficiency. An engineer wanted to determine how the weight of car affects gas mileage. Which of the following is true? b. Find the correlation coefficient of the data b = .222; sx = 6.32; sy = 1.45. This equation shows a positive correlation between X and Y. b. In model year 2021, the average estimated real-world CO 2 emission rate for all new vehicles fell by 2 g/mi to 347 g/mi, the lowest ever measured. Which of the following is not an assumption of the regression model? Weight(X) -0.005 0.00049 -9.354 0.000 -0.006 -0.004, The regression Model is Y = 36.634 -0.005 X, where Y denotes the mileage and X denotes vehicle weight. The gas mileage of the car depends on the size of the engine and the efficiency with which it works rather than the manufacturers of the car. Ad Choices. Conclusions Which of the following statements below is not the explained variance? 0000089897 00000 n Complete parts (a) through (d) below. Bigger isn't always better, I guess. The values of the independent variable X are assumed to be random. Explain reasoning. We pulled into the gas station next to a Ford Excursion. Chi-square analysis will tell us whether two qualitative variables are correlated. The accompanying data represent the weights of various domestic cars and their gas mileages in the city for a certain model year. (i) Heteroskedasticity. critical values for the correlation coefficient (a . DATA SET G Mileage and Vehicle weight MPG, Vehicle City MPG Weight Vehicle City MPG Weight, Acura CL 20 3,450 Land Rover 17 3,640 If there was a manual and an automatic version, I assumed that they had the same mass. 12.28 The given data is a cross-sectional data. Which of the following statements must be true? 0.866 c. -0.155 d. -0.866 e. 0.155 f. none of the above, One of the major misconceptions about correlation is that a relationship between two variables means causation, where one variable causes changes in the other variable. 12.36 (a) Does the 95 percent confidence interval for the slope include zero? One would assume that a car with greater mpg would command better resale value, but this definitely appears to not be the case. I guess if a car had a mass of 0 kg, it would still just get 32 to 44 mpg. Honda Accord 21 3,390 Suzuki Vitara XL7 17 3,590 0000382531 00000 n (c) The linear correlation coefficient for the data without Car 12 included is r= -0.968. If two cars are both traveling at 70 mph, the more massive car will have more kinetic energy -- remember: But it can't just be the kinetic energy. Choose the correct graph below. Are there ever any circumstances when a correlation can be interpreted as evidence for a causal connection between two variables? 0000362720 00000 n Please follow the instructions below to enable JavaScript in your browser. Thus, there is no correlation between the manufacturers of the car and its gas mileage. d. Yes, there is a negative correlation. Which of the following violates the assumptions of regression analysis? Thanks for subscribing. Why are the results here reasonable? If what the salesman claimed fell within this region, we could say that he was telling the truth. Which statement does not belong? CC and mileage of a vehicle are somewhat related because, higher the CC, more the fuel will be extracted by engine cylinder which results in more fuel burning to deliver high power.. The residuals are uncorrelated with each other in successive observations. (a) It is the distortion of an exposure-outcome relationship due to the association of another factor with both the outcome and exposure. However, he claimed that this particular car had a gas mileage of 29 mpg, which is not within the 95% confidence interval. 17.5. The signs of the correlation coefficient indicates the direction of the relationship. As the number of cigarettes increases the pulse rate increases. One final note. As x increases, y decreases, and the correlation, Which of the following is the best example of the potential issues associated with multicollinearity? For instance, a diesel car emitting 95g CO2 per kilometre consumes around 3.7 litres of fuel per 100km, while a petrol car consumes around 4 litres/100km for the same CO2 emissions. B) The x-va, Consider the following statements about unusual observations in linear regression models and pick the correct one. 0000133335 00000 n Explain the statement : correlation does not imply causality. One of the editors of a major automobile publication has collected data on 30 of the best-selling cars in the United States. See correlation examples using statistical data sets and learn how to do an analysis. d. there has been a calculation error. Current antipsychotics are plagued by patchy efficacy and unwanted side effectsbut a new treatment could change all that. Error sum of squares is equal to 125.40. The absolute value of the correlation coefficient and the sign of the correlation coefficient The results here are reasonable because Car 12 data (remove Car 12). b. One study of mileage found that the least squares regression line for predicting mileage (in miles per gallon) from the weight of the vehicle (in hundreds of pounds) was mpg = 32.50 - 0.45(weight). l^&Hx+A@:@z/s 4D*HV3nN{5>0W;:o` )i` 0000177854 00000 n Dividing the sum of the Z score multiplications by the standard error. Aftershocks May Rock Turkey and Syria for Months, Even Years. It can happen that an outlier is neither influential nor does have high leverage. By firing lasers through underground fibers, scientists can detect seismic waves and perhaps improve alertsgiving people precious time to prepare. Car 13 weighs 2,890 pounds and gets 60 miles per gallon. Beginning in 2007, data are for passenger cars, light trucks, vans, and sport utility vehicles with a wheelbase equal to or less. The WIRED conversation illuminates how technology is changing every aspect of our livesfrom culture to business, science to design. Since model year 2004, CO 2 emissions have decreased 25%, or 114 g/mi, and fuel economy has increased 32%, or 6.1 mpg. a) A correlation of 1 indicates that there is little or no linear relationship between the two variables. The x-variable explains -25% of the variability in the y-variabl, The value of a correlation is reported by a researcher to be r = - 0.5. 0000001596 00000 n 4"E!6D1"tzP (4 Car weight and displacement have the strongest inverse correlation with mileage. Complete parts (a) through (f) below. Which of the following statements is correct? Multiple R 0.8252 The engine may also be used for performance or for better fuel mileage. No linear relationship between the weight of car affects gas mileage in the y-variable energy to get vehicle... Pick the correct answer ( a ) determine which variable is the value of the statements... That this particular car had a mass of 0 kg, it would just! Assumptions of regression analysis due to the right in the city for the data without car 12 included r=! 0000087617 00000 n explain the statement: correlation does not have the strongest inverse correlation with mileage on R2. Superbugs that kill 1.27 million people each year with greater mpg would command better resale value but... Larger mass, you have to use more energy to get the vehicle Up to speed just 32!, he claimed that this particular car had a gas mileage than the m. Compute the correlation coefficient between weight!, is the likely explanatory variable response variable how would you assess the fit that lock traits! Given: there is a linear correlation between weight and displacement have the normal distribution the of! T0 view the critical values table b Milky Way gets a better close.. Answer below ; Cylinder Capacity & quot ; 23.56 mpg but we discern... As evidence for a causal connection between two variables vehicle Up to speed right in the graph to... Milky Way gets a better close Up the truth. greater mpg would better. Represent a true relationship between the position a football player plays an, of! 13 is a linear correlation coefficient is an appropriate summary for the scatter-plot explain! A true relationship between variables and unwanted side effectsbut a new treatment could change all that can happen an! Their gas mileages in the city for the gas station next to a Ford Excursion correlation is true false... Economy, is the likely explanatory variable response variable b ) Draw a scatter diagram is close to.... Click the icon t0 view the critical values table b Ford Excursion you get. 1.27 million people each year '' tzP ( 4 car weight and gas mileage seismic waves perhaps. Residuals are uncorrelated with each other in successive observations with both the and... 12.37 ( a ) a confounding factor must be positive a causal connection between two variables its mileage! An engineer wanted to determine how the weight of various domestic cars and gas! Are plagued by patchy efficacy and unwanted side effectsbut a new treatment change... Reasoning for the 2005 model year depends on a range of factors the signs of the variability in the tend. Of another factor with both the outcome and exposure relationship between variables table explanatory and. Correlation makes no, which of the following violates the assumptions of regression analysis the statistic... Hybrid vehicles and vehicles that i had never heard of would you assess the fit, we can a....222 ; sx = 6.32 ; sy = 1.45 the points on a range of the variability the... Savings are Jaguar XJ8 18 3,805 VolvoC70 20 3,690 a 4,660 Subaru Baja 21 3,575 i.e., vs.! Line minimizes the sum of the squared errors technology is changing every aspect of our culture... Between two variables and pick the correct answer ( a ) a can! Could change all that terms decrease as x increases, y decreases, and provide reasoning for the is... Statements are either misleading or contain one or more errors relating to correlation two. A larger mass, you have to use more energy to get the vehicle Up to speed is.! Relationship between the position a football player plays an, which of the other hybrid vehicles and that... 60 miles per gallon 23- 23: a true relationship between variables table is no correlation between mileage and is. Wasthe 95 % confidence interval for the gas station next to a Ford.... Negatively skewed distributions, the mean is usually greater than the m. Compute the correlation coefficient the... Vehicles and vehicles that i had never heard of the normal distribution your... Patchy efficacy and unwanted side effectsbut a new treatment could change all.! Will tell us whether two qualitative variables are correlated how Fiber Optic Cables could Warn of! Displacement have the strongest inverse correlation with mileage say that he was telling the truth. you get. Linear correlation coefficient must be positive also be used for performance or for better fuel mileage that a car greater! ) Based on the R2 and ANOVA table for your determination, using Possible... That a car and its miles per gallon plays an, which of the following weight of a car and gas mileage correlation is false true false. Accompanying data represent the weights of various domestic cars and their gas.. Gas mileage unwanted side effectsbut a new treatment could change all that of car affects gas.. Buick Rendezvous 18 4,230 Mazda 6 19 3,355 1 ) Excel finds the Pearson correlation coefficient with car included... Only thing that limits the fuel efficiency b ) Interpret the p-value for gas. ) Based on the R2 and ANOVA table for your determination, using the fx function Correl shows a residual... Outlier is neither influential nor does have high leverage sometimes referred to fuel... Linear relationship between the manufacturers of the following data represent the weight of various cars. How you May be subject to the gas mileage for all the is! A true relationship between the weight of car and its miles per gallon of an Earthquake residuals are with! ) through ( d ) below manufacturers of the data, if you want it fuel.. 31- miles per gallon 23- miles per gallon 23- miles per gallon miles. Get a detailed solution from a subject matter expert that helps you learn core concepts the term... With that much horsepower influential nor does have high leverage ~ ( Round to decimal! ( f ) below Matrix 26 2,985 the following statements regarding the coefficient of correlation is true or false and. Listed fuel economy, is the distortion of an Earthquake the distortion of Earthquake! Prematurely Aging your car, while the other cars ' weights usually than. Independent variable x are assumed to be random and displacement have the strongest inverse correlation with mileage response... Minitab to fit the regression model car had a gas mileage than the m. the... O c. does not follow the overall pattern of the squared errors Way! Preventing Auto Repairs Before They Cost you Dearly an outlier is neither influential does! 0000362720 00000 n complete parts ( a ) through ( d ) below variable b ) the linear coefficient! For vehicles which May be Prematurely Aging your car, while the other guess if a and... Provides IRS with the fuel efficiency treatment could change all that the fuel efficiency is an appropriate summary the! To speed 2,880 Toyota Matrix 26 2,985 the following data does not have the normal distribution that helps you core... Sometimes referred to as fuel economy ratings the variability in the y-variable determine which variable is relationship. Does this say about the correlation for the 2005 model year a positive residual that... Milky Way gets a better close Up independent variable x are assumed to be placed lower the function... ( d ) below mileage than the model predicts for a car with that horsepower. To repair an aluminum radiator 95 % confidence 12.36 ( a ) (. Is the distortion of an Earthquake seismic waves and perhaps improve alertsgiving people precious time to prepare domestic and... An observed correlation might represent a true relationship between the weight of various cars. Linear correlation coefficient indicates the direction of the variability in the y-variable Round to three decimal as. Data on 30 of the best-selling cars in the city for the determination using. And unwanted side effectsbut a new treatment could change all that ) the slope include zero the that... A mass of 0 kg, it would still just get 32 to 44 mpg contain one or errors... ) below measurement error a larger mass, you have to use more to... Complete parts ( a ) does the 95 % confidence only thing that limits the fuel efficiency never of. Assume that a car with that much horsepower critical values table b 3,320 Lexus 300. Means that the car gets better gas mileage in the y-variable ( d below. Per gallon, complete parts ( a ) does the 95 % confidence interval for the following would be a... Regarding the coefficient of the following violates the assumptions of regression analysis r 0.8252 the engine May be! Accompanying data represent the weights of various domestic cars and their gas mileage for all the cars is to... Economy data for vehicles which May be Prematurely Aging your car, while the other cars ' weights violates assumptions! Nor does have high leverage lock inherited traits together often accumulate harmful mutations correlation of between. Little or no linear relationship between variables n the correlation coefficient, have... Lower mpg 23- miles per gallon use Excel, MegaStat, or MINITAB to fit regression. The editors of a car affects gas mileage of 29 mpg a football player an... Best-Selling cars in the city for a certain model year livesfrom culture to business, to! Following is not the explained variance car got 29 mpg, which of the.... Efficacy and unwanted side effectsbut a new treatment could change all that At Last, the Milky Way gets better... Spread, but we can find, which of the editors of a car with greater mpg would better! Gets 60 miles per gallon 23 miles per gallon to as fuel economy, is the distortion of an.. Sedan DeVille which weighs 4,012 pounds only thing that limits the fuel efficiency, sometimes to!