Week 3

One of the assumptions in regression analysis is that

• Residuals are dependent

• Residuals are normally distributed

• Residuals have a standard deviation of zero

• Residuals have an irregular variance

When using regression, an error is also called

• Intercept

• Prediction

• Coefficient

• Residual

Which of the following equations is correct?

• SST = SSR + SSE

• SSR = SST + SSE

• SSE = SSR + SST

• SST = SSC + SSR

A multiple regression model differs from a simple linear regression model because

• Dependent variable

• Intercept

• Independent variable

• Error

The overall significance of a regression model is tested using F test. The model is significant if

• F value is low

• Slope is lower than the intercept

• R² value is low

• Significance level of F value is low