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Match the regression condition / assumption with the best graph to check if the condition / assumption is satisfied. Linearity 2. Equal Variance 3. Independence

Match the regression condition / assumption with the best graph to check if the condition / assumption is satisfied.

  1. Linearity 2. Equal Variance 3. Independence 4. Normality

A. The Residuals plot should show a strong linear form

B. QQ plot of the residuals and quantiles fit the line reasonably well with no extreme outliers

C. Residuals plot shows a reasonably equal range that is consistent through the plot

D. The Residual plot shows a linear relationship between fitted values and residuals

E. Scatter plot(s) of the numerical independent variable(s) to the dependent variable shows a linear relationship

F. The QQ plot shows that the variables are reasonably normal

H. The QQ plot shows independent variable(s) are linear in the model

J. Scatter plot(s) of the dependent variable(s) to the independent variable a linear relationship

K. Residuals plot shows a random scatter in the plot with no discernable pattern

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