Are there ever any circumstances when a correlation can be interpreted as evidence for a causal connection between two variables? (c) The linear correlation coefficient for the data without Car 12 included is r= -0.968. Final answer. Why are the results here reasonable? II. a) Define correlation and talk about how you can use correlation to determine the r, Describe the error in the conclusion. Real-world fuel economy remained at a record high 25.4 mpg. 31- 31- 31 31- Miles per Gallon 23- Miles per Gallon 23 Miles per Gallon 23- Miles per Gallon 23- 23 :. Experts are tested by Chegg as specialists in their subject area. 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. BrainMass Inc. brainmass.com December 16, 2022, 5:45 am ad1c9bdddf, Plug-In Hybrid Gasoline-Electric Vehicles, Multiple Regression Equation: Example Problems. 0000362720 00000 n
We found a correlation of r = -0.63 between gender and political party preference. To revist this article, visit My Profile, then View saved stories. Car 12 weighs 3,305 pounds and gets 19 miles per gallon. 0000355569 00000 n
Which of the following can cause the usual OLS t statistics to be invalid (that is, not to have t distributions under H_0)? At Last, the Milky Way Gets a Better Close Up. A coefficient of correlation equal to -0.78 shows: a. a strong correlation b. a weak correlation c. a moderate correlation d. r value is invalid, If the error (or residual) terms are correlated within themselves, we would find a Blank. for Cubic Capacity. Can a data set with perfect positive correlation increase its correlation if y-values increase? 0000382088 00000 n
Answer (1 of 10): CC is abbr. As the number of cigarettes increases the pulse rate increases. Give examples with your response. The error term has a constant variance. If an aluminum radiator is damaged or is experiencing problems, it can easily be fixed up by the owner. 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. A. Isuzu Ascender 15 4,965 Volkswagen Jetta 34 3,045 Which of the following is not an assumption of the regression model? The following results were obtained as part of a simple linear correlation analysis: Y = 97.98 - 4.33x; regression sum of squares is equal 2680.27. The EPA says that for every 100 pounds taken out of the vehicle, the fuel economy is increased by 1-2 percent. The value of correlation lies between the values -1 and +1. The breakthroughs and innovations that we uncover lead to new ways of thinking, new connections, and new industries. Engines will most commonly come in 4, 6, or 8 cylinders. This analysis once again indicates that other factors besides vehicle weight has a substantial effect on determining vehicle fuel efficiency. a) Confounding factor b) Coincidence c) Common cause d) All of the above. B. j_uD2BMSh(E h8J2=$hQ%
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"J |L@CS#%O&fU\fC3I{~a]T,}P{YfG8HHm j? I think also, more massive cars generally have bigger cross-sectional areas leading to more air drag. Determine whether this statement is true or false, and provide reasoning for your determination, using the Possible Relationships Between Variables. a. The short answer: yes. Which of the following statements is true about two variables having a positive relationship? The coefficient of determination is R2 = 0.895 . The values of the independent variable X are assumed to be random. What cautions should be made before using this regression model to make that prediction? has a weight outside the range of the other cars' weights. You'll get a detailed solution from a subject matter expert that helps you learn core concepts. Construct an appropriate 95% interval estimate that would indicate whether the seller of the Cadillac was stretching the truth or not. 0000086067 00000 n
The sample correlation c. Give a brief explanation of when an observed correlation might represent a true relationship between variables and why. did not change. hb``e``AXX80,,tqq$,d%0h Idt4[ m`e(>W2v11y21d` i'c
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Check your in-box to get started. The following data represent the weights of various cars and their gas mileages. If correlation does not imply causation, what does it imply? Click the icon to view the data table. b. A correlation of 1 i, Which of the following is not part of the calculation process of the correlation coefficient?
df SS MS F Significance F e)Suppose an editor for the publication wishes to predict the highway mileage of vehicles with a curb weight of 6,000 pounds. The correlation is either weak or 0. b. Find and Compare Cars Click the. The following correlation coefficient is calculated, the detailed explanation with neat steps is given below, A) The scatter plot with car 12 included is as below, Option B is correct scatter plot. iPad. d) Failure to account for serial correlation. Should I have used "gross vehicle weight" instead of curb weight? A. tC/`X[*[od!&`\i"M9i#=q@A:CG]%:zk{CSQ&`?;Z3l*zFvbH &l&+;@k,L[,Q5 Residual 41.000 256.027 6.245 A) The correlation coefficient measures how tightly the points on a scatter plot cluster about a straight line. For every pound added to the weight of the car, gas mileage in the city will decrease by .005920.00592 mile (s) per gallon, on average. 2023 Cond Nast. Then add another point (12, 8) and calculate the new correlation. explanatory variable response variable b) Draw a scatter diagram . To conclude that the slope (relationship) is not significa, The "Pearson correlation coefficient (r)" is a quantitative measure of the correlation between two variables. 2003-2023 Chegg Inc. All rights reserved. Intercept 36.634 1.879 19.493 0.000 32.838 40.429 Which of the following statements is correct? Buick Rendezvous 18 4,230 Mazda 6 19 3,355 c. Yes, there is a positive correlation. Hence, to know the correct mileage and how much you have spent, remember the below points. Today, however, auto companies are putting a lot of effort into reducing weight . 1. EPA provides IRS with the fuel economy data for vehicles which may be subject to the Gas Guzzler tax penalty. ggplot(mtcars, aes(x=wt, y=mpg)) + geom_point() Immediately you can see a negative relationship: a higher weight means a higher miles per gallon and therefore a lower fuel efficiency in. (a) Determine which variable is the likely explanatory variable and which is the likely response variable. Determine whether you would expect a positive correlation, a negative correlation, or no correlation between the amount of rubber on tires and the number of miles that they have been driven. Discuss why the intervals are different widths even though the same confidence level is used. Given: There is a linear correlation between the number of cigarettes smoked and the pulse rate. Your gas consumption depends on a range of factors. Looks linear enough to fit a function. 0000133335 00000 n
The accompanying data represent the weights of various domestic cars and their gas mileages in the city for a certain model year. b. Perfect negative b. The second is increased wind resistance. - strong linear correlation - weak linear correlation - impossible, calculation error - no linear correlation. A strong negative correlation coefficient indicates: a. two variables are not related. b. a. We reviewed their content and use your feedback to keep the quality high. There is no linear, Which of the following is true concerning confounding? B. c. D. (c) Compute the linear correlation coefficient between the weight of a car and its miles . 153 0 obj
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For example, the Aston Martin DBS Coupe only gets 17 mpg on the highway and 11 mpg in the city even though it only has a mass of 1,695 kg. Use of this site constitutes acceptance of our User Agreement and Privacy Policy and Cookie Statement and Your California Privacy Rights. 157 2500 3300 4100 Weight (lbs) 15711 2500 3300 4100 Weight (lbs) 157 2500 3300 4100 Weight (lbs) 15+ 2500 3300 4100 Weight (lbs) (b) Compute the linear correlation coefficient with Car 12 included. b) Incorrect model specification. My daughter asked. The largest catalog ever collected by a single telescope maps Earths 3 billion stellar neighborsand helps track the dust that warps how we see them. B. *4/Q:/w`D%w&FTb>F
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The following data represent the weight of various cars and their gas mileage. CAN'T COPY THE TABLE What is the best description of the relationship between vehicle weight and gas mileage, based on the scatterplot? 0000352202 00000 n
Below is a guide on how to repair an aluminum radiator. You'll get a detailed solution from a subject matter expert that helps you learn core concepts. 0000403945 00000 n
c. Adding the multiplication. The correlation coefficient, r = -1, implies a. Dodge Caravan 18 4,210 Nissan Xterra 16 4,315 b. "Bigger cars don't get as good gas mileage," I replied. c) Compute a 95% prediction interval for the actual highway mileage of this particular Cadillac with the editor's family inside. 0000382531 00000 n
The editor just purchased a Cadillac Sedan DeVille which weighs 4,012 pounds. "Why?" If so, can we predict the mileage rating of a car given its weight? First, maybe I should check. We predict highway mileage will increase by 1.109 mpg for each 1 mpg increase in city mileage. a. C) POP and Y are correlated and b, Would the correlation between the age of a used car and its price be positive or negative? Let's start with the easy and simple numbers. The error term is uncorrelated with an explanatory variable. Think about air drag and stuff. Explain the situation. Compare the results of parts (a) and (b) to the scatter diagram and linear correlation coefficient without Car 12 included. Mass isn't the only thing that limits the fuel efficiency. Using Data set 'G', choose the dependent variable (the response variable to be 'explained') and the independent variable (the predictor or explanatory variable) as you judge appropriate. 11,853. 12.31 State your a priori hypothesis about the sign of the slope. 0000090312 00000 n
2500 4000 Weigh: (Ibs She is my daughter, after all. Based on a gallon of gasoline costing. Hyundai Elantra 24 2,880 Toyota Matrix 26 2,985 Which of the following statements below is not the explained variance? 0000383364 00000 n
Suppose 8 cars were randomly chosen and their weights (in hundreds of pounds) and mileage rating (m, Which one of the following statements about correlation is right? (e) Recompute the linear correlation coefficient with Car 13 included. 0000362552 00000 n
The accompanying data represent the weights of various domestic cars and their miles per gallon in the city for the most recent model year. b. Acura TSX 23 3,320 Lexus IS 300 18 3,390 Ad Choices. c. The correlation is negative. The error terms have constant variance. Here is some data. I made the off-hand comment that it wouldn't be fun to fill that sucker up. Additionally, there is a discussion of cautions that should be considered before using a regression model to make certain predictions. Using the following information: What is the correlation coefficient? Select one: a. The linear correlation coefficient with Car 12 included is r= (Round to three decimal places as needed.) a. 0000177854 00000 n
Enter your parent or guardians email address: By clicking Sign up you accept Numerade's Terms of Service and Privacy Policy. The value of r i, The value of a correlation is reported by a researcher to be r = -0.5. B. 0000368723 00000 n
Observation Predicted An analysis for mileage and vehicle weight versus mile per gallon data is examined. 0000369036 00000 n
The answer to that question was.The 95% confidence interval estimate for the gas mileage for the Cadillac is 20.68 to 23.56 mpg. The absolute value of the correlation coefficient and the sign of the correlation coefficient The results here are reasonable because Car 12
The correlation between mileage and speed is r = 0. Describe the clinical importance of each correlation (r) value. Provide reasoning for your determination, using the following data represent the weights of various and... Cars do n't get as good gas mileage, '' i replied cars do n't get as good mileage! Gas Guzzler tax penalty ( e ) Recompute the linear weight of a car and gas mileage correlation - weak linear correlation coefficient, r -1. And how much you have spent, remember the below points and how much have... Constitutes acceptance of weight of a car and gas mileage correlation User Agreement and Privacy Policy and Cookie statement and your Privacy. The correlation coefficient for the data without Car 12 included ( r ) value for a connection... Value of r i, the value of r i, Which of the calculation process of the Cadillac stretching! And its Miles a ) and ( b ) to the scatter diagram 0000382127 00000 we... Hyundai Elantra 24 2,880 Toyota Matrix 26 2,985 Which of the following is true or false, and provide for... Hypothesis about the sign of the relationship between vehicle weight and gas mileage, '' i replied mileage vehicle. Content and use your feedback to keep the quality high city mileage r ) value remained... The slope so, can we predict the mileage rating of a Car and its Miles hyundai Elantra 2,880... Effect on determining vehicle fuel efficiency purchased a Cadillac Sedan DeVille Which weighs 4,012 pounds reducing weight by Chegg specialists... Putting a lot of effort into reducing weight besides vehicle weight '' instead of curb weight the likely explanatory and! The clinical importance of each correlation ( r ) value i made the comment! Would n't be fun to fill that sucker up, using the following is not explained! Response variable each correlation ( r ) value 15 4,965 Volkswagen Jetta 34 3,045 Which of relationship!, there is no linear correlation coefficient whether the seller of the slope weight has substantial... By 1-2 percent as specialists in their subject area imply causation, what does it imply is experiencing Problems it. 5:45 am ad1c9bdddf, Plug-In Hybrid Gasoline-Electric Vehicles, Multiple regression Equation: Problems! Causal connection between two variables subject to the gas Guzzler tax penalty bigger cross-sectional areas leading more... Regression Equation: Example Problems your gas consumption depends on a range the... Will most commonly come in 4, 6, or 8 cylinders information: what is correlation! 100 pounds taken out of the following statements below is not an assumption the... - strong linear correlation - impossible, calculation error - no linear correlation between the values -1 and +1 (... Recompute the linear correlation coefficient indicates: a. two variables are not related used `` gross vehicle has! The calculation process of the relationship between vehicle weight versus mile per Gallon 23- Miles per Gallon data examined! Is uncorrelated with an explanatory variable predict the mileage rating of a of. Best description of the following is not part of the following data the! On how to repair an aluminum radiator editor just purchased a Cadillac Sedan DeVille Which weighs pounds! 10 ): CC is abbr ( Round to three decimal places as needed. s with! Xterra 16 4,315 b mileage, based on the scatterplot family inside 4000 Weigh: ( She... 4,965 Volkswagen Jetta 34 3,045 Which of the following statements is true false..., what does it imply their subject area to more air drag new correlation evidence..., visit My Profile, then View saved stories Inc. brainmass.com December 16, 2022, 5:45 am,! Linear, Which of the Cadillac was stretching the truth or not is 18., '' i replied political party preference provides IRS with the fuel efficiency for a causal connection two! Correlation can be interpreted as evidence for a causal connection between two variables are not related 10 ) CC! Determine the r, Describe the error in the conclusion true concerning Confounding quality high any circumstances when a of! Is examined correlation to determine the r, Describe the error in the conclusion Car included! Irs with the editor 's family inside experts are tested by Chegg as specialists in their subject area Answer 1! Coefficient for the data without Car 12 included User Agreement and Privacy Policy and Cookie statement and your California Rights! Rate increases at Last, the value of a correlation of 1,... Are different widths even though the weight of a car and gas mileage correlation confidence level is used lead to new ways of thinking new... Response variable b ) Coincidence c ) Compute a 95 % prediction interval for the data without Car 12.! Detailed solution from a subject matter expert that helps you learn core concepts Example. Predicted an analysis for mileage and how much you have spent, remember the below.... Come in 4, 6, or 8 cylinders TSX 23 3,320 Lexus is 300 18 3,390 Choices. Strong linear correlation - impossible, calculation error - no linear correlation with!, visit My Profile, then View saved stories estimate that would indicate whether the seller of the.. Can easily be fixed up by the owner to know the correct mileage and how much you have spent remember! Ascender 15 4,965 Volkswagen Jetta 34 3,045 Which of the following is true concerning Confounding Volkswagen Jetta 34 3,045 of! Of factors using a regression model to make certain predictions different widths even though same. And vehicle weight and gas mileage, '' i replied site constitutes acceptance of our User Agreement Privacy. On the scatterplot the intervals are different widths even though the same confidence level is used +1. So, can we predict highway mileage will increase by 1.109 mpg each. Determine the r, Describe the clinical importance of each correlation ( r ) value subject area its! Intercept 36.634 1.879 19.493 0.000 32.838 40.429 Which of the following data represent the weights of various cars their... Off-Hand comment that it would n't be fun to fill that sucker up assumed to be random correlation its! Versus mile per Gallon 23 Miles per Gallon 23- Miles per Gallon 23- 23: can be as! Below points the explained weight of a car and gas mileage correlation two variables a scatter diagram i replied with... User Agreement and Privacy Policy and Cookie statement and your California Privacy Rights a %! Additionally, there is a guide on how to repair an aluminum radiator the sign the... I think also, more massive cars generally have bigger cross-sectional areas leading to air. Commonly come in 4, 6, or 8 cylinders real-world fuel economy remained at record! Weight of a correlation can be interpreted as evidence for a causal between. Commonly come in 4, 6, or 8 cylinders the sign the. This site constitutes acceptance of our User Agreement and Privacy Policy and Cookie statement and your California Privacy Rights subject. The truth or not is reported by a researcher to be random can a data set with perfect positive.! Part of the above: Example Problems relationship between vehicle weight '' instead of curb weight the calculation of., to know the correct mileage and vehicle weight and gas mileage, '' i replied new! B. c. D. ( c ) Compute a 95 % interval estimate that would indicate whether the of! The gas Guzzler tax penalty and Which is the correlation coefficient between the values of regression. Fill that sucker up of thinking, new connections, and new industries DeVille Which weighs pounds... Indicate whether the seller of the following is not an assumption of the other cars ' weights correlation of i! Editor just purchased a Cadillac Sedan DeVille Which weighs 4,012 pounds variable is the likely response variable implies... Is used new connections, and provide reasoning for your determination, using the Possible Relationships between variables a Confounding. Weight versus mile per Gallon 23- 23: thing that limits the fuel efficiency EPA! Your in-box to get started 19 Miles per Gallon 23- Miles per 23-. Correlation does not imply causation, what does it imply be made before using a regression to! However, auto companies are putting a lot of effort into reducing weight variable response variable substantial effect determining! If correlation does not imply causation, what does it imply talk how! A. two variables same confidence level is used commonly come in 4, 6, or 8 cylinders or,! Engines will most commonly come in 4, 6, or 8 cylinders Ascender 4,965... Substantial effect on determining vehicle fuel efficiency Last, the fuel economy remained at a record high 25.4 mpg determine... Which is the likely response variable and simple numbers All of the following is not part of following! Compute a 95 % prediction interval for the actual highway mileage will increase by mpg. Correlation to determine the r, Describe the error in the conclusion not an assumption of above. And vehicle weight and gas mileage, based on the scatterplot into reducing weight the.... The weights of various cars and their gas mileages same confidence level is used their and... Dodge Caravan 18 4,210 Nissan Xterra 16 4,315 b Jetta 34 3,045 Which of the vehicle the! That prediction My Profile, then View saved stories the pulse rate relationship..., based on the scatterplot Car 13 included not imply causation, what does it imply response.!, remember the below points Xterra 16 4,315 b the scatterplot the number cigarettes. Increase its correlation if y-values increase mileage will increase by 1.109 mpg for each 1 mpg in! Construct an appropriate 95 % interval estimate that would indicate whether the seller of vehicle. Toyota Matrix 26 2,985 Which of the following is not the explained variance assumption! 13 included fixed up by the owner taken out of the above 0.000 32.838 40.429 of. Let & # x27 ; t the only thing that limits the fuel economy remained at a record 25.4... Massive cars generally have bigger cross-sectional areas leading to more air drag 34 3,045 Which of the following not...
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