Question

eBook The following data show the curb weight, horsepower, and fs-mile speed for 16 popular sports and GT cars. Suppose available. The complete data set is as follows: that the price of each sports and GT car is also Sports & GT Car Acura Integra Type R Speed at Mile Horsepower (mph) 90.7 ($1000s) 25.035 93.758 40.900 24.865 50.144 (lb.) 195.000 290.000 189.000 305.000 345.000 BMw 23 2.8 Chevrolet Camaro Z28 Chevrolet Corvette Convertible Dodge Viper RT/10 Ford Mustang GT Honda Prelude Type SH Mercedes-Benz CLK320 Mercedes-Benz SLK230 Mitsubishi 3000GT VR-4 Nissan 240SX SE Pontiac Firebird Trans Am Porsche Boxster Toyota Supra Turbo Volvo c70 2844 93.2 3439 69.742 23.200 26.382 44.988 42.762 47.518 25.066 27.770 45.560 40.989 41.120 450.000 225.000 195.000 215.000 185.000 320.000 155.000 305.000 3227 89.7 3737 99.0 84.6 103.2 3455 2822 320.000 97.0 a. Find the estimated regression equation that uses price and horsepower to predict yo mile speed (to 3 decimals) Speed-bo + b Price +b Horsepower Volvo C70 41.120 3285 236.000 97.0 a. Find the estimated regression equation that uses price and horsepower to predict ¼-mile speed (to 3 dedmals). Speed bo + bi Price + b Horsepower b. Plot the standardized residuals against y 0.5 110 100 0.5 в. D. 5 0.5 90 100 110 0.5 1.5 -2.5 Does the residual plot support the assumption about e? There are Select your answer - observation(s) with a large standardized residual What are your conclusions? Thus, there Select your answer-3 appear to be any outilers in the data Check My w

Answer 1

data

regression result

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.958840477
R Square	0.91937506
Adjusted R Square	0.906971223
Standard Error	2.485322477
Observations	16
ANOVA
	df	SS	MS	F	Significance F
Regression	2	915.6556134	457.8278067	74.12021517	7.8E-08
Residual	13	80.29876159	6.176827815
Total	15	995.954375
	Coefficients	Standard Error	t Stat	P-value	Lower 95%
Intercept	71.3282582	2.247914489	31.73085923	1.05728E-13	66.47193
Price ($1000s)	0.10718565	0.039182915	2.73552006	0.017001649	0.022536
Horsepower	0.084496497	0.009305702	9.080077314	5.44635E-07	0.064393

y^ = 71.328 + 0.107 Price + 0.084 Hp

b)

Standard Residuals 2 1.5 0.5 0 20 40 60 80 100 120 140 0.5 -1 1.5 -2 2.5

yes, the residual support the assumption about e

option B) is correct residual

c)

there is no observation with large standardized residuals

d)

there does not appear to be any outlier