Multiple RegressionCall:1m (formula Energy Bar SPrice Energy BarScalories + Energy Bar $Protein +Energy Bar$Fat)Residuals:Min1Q Median3QMax-0.52712 -0.18270 -0.09316 0.23599 0.47918Coefficients:(Intercept)Estimate Std. Error t value Pr(>\t])-0.062159 0.757488 -0.082Energy BarScalories 0.002590 0.002916Energy BarSProtein 0.048206 0.029663Energy Bar$Fat0.8881.6250.043968 0.048908 0.8990.9360.3930.1320.388Residual standard error: 0.3165 on 11 degrees of freedomMultiple R-squared: 0.392, Adjusted R-squared: 0.2262F-statistic: 2.364 on 3 and 11 DF, p-value: 0.127a. Interpret each of the results presented in the output and provide aninterpretation for each of them.b. Using a significance level of 0.05, determine whether the data support thehypothesis of a linear relationship between dependent and independentvariables.

The following are the interpretations of the given results.

Answered: Multiple Regression call: 1m(formula…

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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