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 per serving 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 for significance of fit.

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ii) the coefficient of determination(round off answer to two decimal points)

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 per
serving 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 for
significance of fit.
Transcribed Image Text: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 per serving 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 for significance of fit.
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