Part A:

Which of the following is true about the estimating regression process? Check all that apply.

It uses partial least square method.

It minimizes the sum of the squared differences between the observed and predicted values of the dependent variable.

It estimates only the slope of the regression equation.

There is a random error term in the estimated equation.

It estimates the intercept and slope of the regression equation.

Part B:

Which of the following is not a goodness of fit measure for linear regression? (Select One)

- Standard error of the estimate

- Coefficient of determination

- Adjusted coefficient of determination

- Standard coefficient