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Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58 9 -0.00749x, where x represents weight C through (d). E Click the icon to view the car data. b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is - 0.00749. O B. The slope is 58.9 and the y-intercept is 0.007499. O C. The slope is -0.00749 and the y-intercept is 58.9. OD. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x O B. The predictor variable is highway fuel consumption, which is represented by y OC. The predictor variable is weight, which is represented by x O D. The predictor variable is weight, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel consumption, what is the best predicted value for a car that weighs 2995 b? The best predicted value of highway fuel consumption of a car that weighs 2995 Ib is mi/gal. (Round to one decimal place as needed.)

Using the weights (Ib) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58 9 -0.00749x, where x represents weight C through (d). E Click the icon to view the car data. b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is - 0.00749. O B. The slope is 58.9 and the y-intercept is 0.007499. O C. The slope is -0.00749 and the y-intercept is 58.9. OD. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x O B. The predictor variable is highway fuel consumption, which is represented by y OC. The predictor variable is weight, which is represented by x O D. The predictor variable is weight, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel consumption, what is the best predicted value for a car that weighs 2995 b? The best predicted value of highway fuel consumption of a car that weighs 2995 Ib is mi/gal. (Round to one decimal place as needed.)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Using the weights (b) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58.9-0.00749x, where x represents weight Co through (d). E Click the icon to view the car data. ..... b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is - 0.00749. O B. The slope is 58.9 and the y-intercept is 0.007499. O C. The slope is -0.00749 and the y-intercept is 58.9. O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x. O B. The predictor variable is highway fuel consumption, which is represented by y. O C. The predictor variable is weight, which is represented by x. O D. The predictor variable is weight, which is represented by d. Assuming that there is a significant linear correlation between weight and highway fuel consumption what is the best predicted value for a car that weighs 2995 lb? The best predicted value of highway fuel consumption of a car that weighs 2995 lb is (Round to one decimal place as needed.) mi/gal. Activate Windows Statcrunch e005sttngs to activate P Type here to search 0日| hp f3 f4 fs f12 esc IOI insert $4 4 %23 & 3. E T. Y tab F G K caps lock C N M shift 1 %24 米
Transcribed Image Text:Using the weights (b) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58.9-0.00749x, where x represents weight Co through (d). E Click the icon to view the car data. ..... b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is - 0.00749. O B. The slope is 58.9 and the y-intercept is 0.007499. O C. The slope is -0.00749 and the y-intercept is 58.9. O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x. O B. The predictor variable is highway fuel consumption, which is represented by y. O C. The predictor variable is weight, which is represented by x. O D. The predictor variable is weight, which is represented by d. Assuming that there is a significant linear correlation between weight and highway fuel consumption what is the best predicted value for a car that weighs 2995 lb? The best predicted value of highway fuel consumption of a car that weighs 2995 lb is (Round to one decimal place as needed.) mi/gal. Activate Windows Statcrunch e005sttngs to activate P Type here to search 0日| hp f3 f4 fs f12 esc IOI insert $4 4 %23 & 3. E T. Y tab F G K caps lock C N M shift 1 %24 米
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