A linear regression model is fitted to determine if a relationship exists between consumer rating of cereal(response)and the number of grams of sugar contained in each serving, grams of fat per serving and grams of dietary fibre perserving as predictors. The sample used was of size 77.(a) The regression sum of squares of fitted model was 13002.226 and error sum of squares was 1994.574. Test forsignificance of fit. (b) Part of the results of the model fit were as follows:fat(1) Compute the test statistic for testing for the significance of the following predictor(round off answer to onedecimal point):sugarfibreVariable B s.e(B)Intercept 53.437Based on part (i);sugar-1.96 0.142fat-3.480.621fibre 2.95 0.255each of the three predictors is significantly related to response after adjusting for other two predictorsnone of the three predictors is significantly related to response after adjusting for other two predictorsfibre is the most significant predictor after adjusting for other two predictorsnone of the provided answers is correct4

Given, regression sum of square (SSR) = 13002.226, error sum of squares (SSE) = 1994.574, sample…

Answered: (b) Part of the results of the model…

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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