The outcome variable is degree of brand liking (measured essentially as some sort of percentage). Higher numbers mean it was “liked” more. There are two potential predictors. The first is moisture content which is controlled at levels of 4, 6, 8, and 10. The second is sweetness, the recorded values are 2 and 4. (Matrix plot is attached)Comment on what you expect the regression analysis to show with regard to the relationship of the two predictors with the response.Comment on the scatterplot that shows the predictors against each other. Note that each “point” on this graph in fact represents 2 data points. What does this imply about the “experimental design”? About “collinearity”? About the ways in which we will be able to discuss the effects of moisture and sweetness? 100&8.*8Matrix Plot of BrandLiking, Moisture, Sweetness10.0BrandLiking1005.07.5MoistureSweetness**** ** **●••10.07.55.0

Answered: The outcome variable is degree of brand…

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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The outcome variable is degree of brand liking (measured essentially as some sort of percentage). Higher numbers mean it was “liked” more. There are two potential predictors. The first is moisture content which is controlled at levels of 4, 6, 8, and 10. The second is sweetness, the recorded values are 2 and 4. (Matrix plot is attached)

Comment on what you expect the regression analysis to show with regard to the relationship of the two predictors with the response.
Comment on the scatterplot that shows the predictors against each other. Note that each “point” on this graph in fact represents 2 data points. What does this imply about the “experimental design”? About “collinearity”? About the ways in which we will be able to discuss the effects of moisture and sweetness?