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A data contains 17 predictors with DS and DW as categorical variable. X1, X2, X3, X4, X5, DS, DW, X1*DS, X1*DW, X2* DS, X2*DW, X3*DS, X3*DW, X4*DS, X4*DW, X3-squared, X4- squared and X3-squared *DW. Predictor variable X5 is omitted from the model. Which of the following plots should be considered to check for Linearity, Independence, Normal Distribution, and Equal Variance Condition? Select all that apply: ☐ Scatterplot of residuals (vertical) and fitted values (horizontal) ☐ Scatterplot of residuals (vertical) and X₁ (horizontal) ☐ Scatterplot of residuals (vertical) and X2 (horizontal) Scatterplot of residuals (vertical) and X3 (horizontal) ☐ Scatterplot of residuals (vertical) and X4 (horizontal) ☐ Scatterplot of residuals (vertical) and X5 (horizontal) ☐ Scatterplot of residuals (vertical) and Y (horizontal) ☐ Normal probability plot of the residuals Normal probability plot of Y

A data contains 17 predictors with DS and DW as categorical variable. X1, X2, X3, X4, X5, DS, DW, X1*DS, X1*DW, X2* DS, X2*DW, X3*DS, X3*DW, X4*DS, X4*DW, X3-squared, X4- squared and X3-squared *DW. Predictor variable X5 is omitted from the model. Which of the following plots should be considered to check for Linearity, Independence, Normal Distribution, and Equal Variance Condition? Select all that apply: ☐ Scatterplot of residuals (vertical) and fitted values (horizontal) ☐ Scatterplot of residuals (vertical) and X₁ (horizontal) ☐ Scatterplot of residuals (vertical) and X2 (horizontal) Scatterplot of residuals (vertical) and X3 (horizontal) ☐ Scatterplot of residuals (vertical) and X4 (horizontal) ☐ Scatterplot of residuals (vertical) and X5 (horizontal) ☐ Scatterplot of residuals (vertical) and Y (horizontal) ☐ Normal probability plot of the residuals Normal probability plot of Y

MATLAB: An Introduction with Applications
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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A data contains 17 predictors with DS and DW as categorical variable. X1, X2, X3, X4, X5, DS, DW, X1*DS, X1*DW, X2* DS, X2*DW, X3*DS, X3*DW, X4*DS, X4*DW, X3-squared, X4- squared and X3-squared *DW. Predictor variable X5 is omitted from the model. Which of the following plots should be considered to check for Linearity, Independence, Normal Distribution, and Equal Variance Condition? Select all that apply: ☐ Scatterplot of residuals (vertical) and fitted values (horizontal) ☐ Scatterplot of residuals (vertical) and X₁ (horizontal) ☐ Scatterplot of residuals (vertical) and X2 (horizontal) Scatterplot of residuals (vertical) and X3 (horizontal) ☐ Scatterplot of residuals (vertical) and X4 (horizontal) ☐ Scatterplot of residuals (vertical) and X5 (horizontal) ☐ Scatterplot of residuals (vertical) and Y (horizontal) ☐ Normal probability plot of the residuals Normal probability plot of Y
Transcribed Image Text:A data contains 17 predictors with DS and DW as categorical variable. X1, X2, X3, X4, X5, DS, DW, X1*DS, X1*DW, X2* DS, X2*DW, X3*DS, X3*DW, X4*DS, X4*DW, X3-squared, X4- squared and X3-squared *DW. Predictor variable X5 is omitted from the model. Which of the following plots should be considered to check for Linearity, Independence, Normal Distribution, and Equal Variance Condition? Select all that apply: ☐ Scatterplot of residuals (vertical) and fitted values (horizontal) ☐ Scatterplot of residuals (vertical) and X₁ (horizontal) ☐ Scatterplot of residuals (vertical) and X2 (horizontal) Scatterplot of residuals (vertical) and X3 (horizontal) ☐ Scatterplot of residuals (vertical) and X4 (horizontal) ☐ Scatterplot of residuals (vertical) and X5 (horizontal) ☐ Scatterplot of residuals (vertical) and Y (horizontal) ☐ Normal probability plot of the residuals Normal probability plot of Y
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