Let a regression equation with two factors be Ỹ = -2X1 + 3X2 + 6. The slope for X1 can be interpreted as the following: one unit increase in X1 is expected to produce two units decrease on the predicted value. In multiple regression with two predictors, R? can be regarded as the correlation between Y and Ÿ. For a two-factor experiment, the smaller the differences between the sample means, the more likely it is that at least one of the F-ratios will be significant.
Let a regression equation with two factors be Ỹ = -2X1 + 3X2 + 6. The slope for X1 can be interpreted as the following: one unit increase in X1 is expected to produce two units decrease on the predicted value. In multiple regression with two predictors, R? can be regarded as the correlation between Y and Ÿ. For a two-factor experiment, the smaller the differences between the sample means, the more likely it is that at least one of the F-ratios will be significant.
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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Transcribed Image Text:Let a regression equation with two factors be Ỹ = -2X1 + 3X2 + 6. The slope for X1 can be interpreted as the
following: one unit increase in X1 is expected to produce two units decrease on the predicted value.
In multiple regression with two predictors, R? can be regarded as the correlation between Y and Ÿ.
For a two-factor experiment, the smaller the differences between the sample means, the more likely it is that
at least one of the F-ratios will be significant.
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