UESTION 15 5 points Save Answer A consumer advocacy group recorded several varia

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UESTION 15 5 points Save Answer A consumer advocacy group recorded several variables on 140 models of cars. The resuiting information was used to produce two models for predicting miles per galon in the city (mpg:city), one based on the engine displacement (in cubic inches) and a second one based the power of the engine (in horsepower). Model 1: mpg vs engine displacement The regression equation is mpg:city 33.4-0.0624 displacement Predictor Constant displacement Coefficient 33.4 -0.0624 SE CoefT 0.7762 0003810 10.38 0000 p-value 43.00 0.0000 S-3.13923 R-sq=66.0% Model 2:mpg vs horse power The regression equation its mpg:city 32.2-0.0572 horsepower Predictor Constant displacement 0.0572 Coefficient 32.2 SE Coef. 1.000 0.005022 11.39 TP-value 32.19 0.0000 0.0000 S 3.86688 R-sq-48.4% Which of the variables (horsepower or displacement) would be the better predictor of city gas mileage? Chose the answer that best explains the situation

Explanation / Answer

C option as Standard erro in case of displacement is lower and R square is higher which is a godd thing.

So, lower the error and highr the R square means better prediction as variation reduces in prediction.

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