1: Which of the following is not an assumption for simple linear regression?

1. Normally distributed variables
2. Multicollinearity
3. Linear relationship
4. Constant variance
5. Normally distributed residuals

2: Continuous predictors influence the ______ of the regression line, while categorical predictors influence the _____________.

1. slope, intercept
2. intercept, slope
3. R², p-value
4. p-value, R²

3: Which of the following is true about the adjusted R²?

1. It is usually larger than the R²
2. It is only used when there is just one predictor
3. It is usually smaller than the R²
4. It is used to determine whether residuals are normally distributed

4: Significance for the coefficients (b) is determined by

1. an F-test.
2. an R² test.
3. a correlation coefficient.
4. a t-test.

5: The R² is the squared correlation of which two values?

1. y and the predicted values of y
2. y and each continuous x
3. b and t
4. b and se