BA6933 Week 7

1. A term that means the same as the term “population” in an ANOVA procedure is A. treatment

2. If all the points of a scatter diagram lie on the least squares regression line, then the coefficient of determination for these variables based on this data is: A. 1

3. In a simple regression analysis, where y is a dependent and x an independent variable, if the y intercept is positive, then A. None of these answers are correct

4. In an analysis of variance, one estimate of standard deviation squared upon the differences between the treatment means and the A. overall sample mean

5. In multiple regression analysis, A. there can be several independent variables, but only one dependent variable

6. In regression analysis, the variable that is being predicted is the  A. dependent variable

7. In simple linear regression, if the coefficient of determination is equal to 1, then the coefficient of correlation A. can be either -1 or +1

8. In simple linear regression, r2 is the A. coefficient of determination

9. It is possible for the coefficient of determination to be A. less than one

10. Larger values of r squared imply that the observations are more closely grouped about the A. least squares line

11. Regression analysis is a statistical procedure for developing a mathematical equation that describes how A. One dependent and one or more independent variables are related

12. The equation that describes how the dependent variable y is related to the independent variable x is called A. the regression model

13. The numerical value of the coefficient of determination A. can be larger or smaller than the coefficient of correlation

14. The numerical value of the coefficient of determination A. can be larger or smaller than the coefficient of correlation

15. The required condition for using an ANOVA procedure on data from several populations is that the A. sampled populations have equal variances

16. Which of the following is not a required assumption for the analysis of variance? A. The variance associated with the random variable must be the same for each population

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