The accompanying table shows results from regressions performed on data from a random sample of 21 cars. The response (y) variable is CITY (fuel consumption in mi/gal). The predictor (x)variables are WT (weight in pounds), DISP (engine displacement in liters), and HWY (highway fuel consumption in mi/gal). Which regression equation is best for predicting city fuel consumption?Why?Click the icon to view the table of regression equations.Choose the correct answer below.OA. The equation CITY = -3.12 +0.824HWY is best because it has a low P-value and its R2 and adjusted R² values are comparable to the R2 and adjusted R2 values of equations with morepredictor variables.OB. The equation CITY=6.88-0.00131WT-0.251DISP+0.654HWY is best because it has a low P-value and the highest value of R².OC. The equation CITY = 6.65 -0.00156WT +0.665HWY is best because it has a low P-value and the highest adjusted value of R².CITY=6.88-0.00131WT-0.251DISP+0.654HWY is best because it uses all of the available predictor variables.OD. The equationRegression TablePredictor (x) Variables P-ValueWT/DISP/HWYWT/DISPWT/HWYDISP/HWYWTDISPHWYR² Adjusted R²0.000 0.9440.000 0.7470.000 0.9430.000 0.9350.000 0.7120.000 0.6590.000 0.9240.9340.7190.9370.9280.6970.6410.920Regression EquationCITY=6.88-0.00131WT-0.251DISP+0.654HWYCITY=37.7 -0.00156WT-1.35DISPCITY=6.65-0.00156WT+0.665HWYCITY=1.86-0.627DISP+0.709HWYCITY 41.7-0.00604WTCITY=28.7-3.03DISPCITY=-3.12+0.824HWY-X

Given that: Predictor(x) Variables P-Value R2 AdjustedR2 Regression Equation WT/DISP/HWY 0…

Answered: The accompanying table shows results…

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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