Chapter 15: Multiple Regression

In multiple regression analysis, there are two or more dependent variables.
1. True
2. False
The least squares method cannot be used to develop the coefficients of the estimated regression equation for multiple regression analysis.
1. True
2. False
An test can be used to test for a significant relationship in multiple regression analysis.
1. True
2. False
The number of degrees of freedom for the error sum of squares in multiple regression analysis decreases as the number of independent variables increases.
1. True
2. False
The number of degrees of freedom in the test for the significance of individual parameters in multiple regression analysis is always
1. True
2. False
1. distribution
2. distribution
3. normal distribution
4. chi-square distribution
1. distribution
2. distribution
3. normal distribution
4. chi-square distribution
The mean annual operating cost for a compact car is
Which of the following is not an assumption about the error term in the multiple regression model?
1. The error term has variance 0
2. The values of the error term are independent
3. The values of the error term are normally distributed
4. All of the above are assumptions about the error term
5. None of the above
If two or more independent variables are strongly correlated, the following exists.
1. Influential Observation
2. Leverage
3. Multicollinearity
4. Outlier
Standardized residuals cannot be used to test the assumptions about multiple regression.
1. True
2. False
Standardized residuals can be used to detect outliers.
1. True
2. False
Qualitative independent variables cannot be used in regression analysis.
1. True
2. False