Question

3. How many qualitative variables is the chi-square test of a contingency table a test of independence for? 11.3 Chi-Square Test for Independence

4. How many expected cell frequencies satisfy subsequent assumptions, so that the chi-square test of a contingency table is valid? 11.3 Chi-Square Test for Independence Page 368 Test Review Questions

Chapter 12

1. What is the name of the variable that's used to predict another variable? 12.1 The Simple Linear Regression Model

2. What is the “standard error of the estimate” if the plots on a scatter diagram lie on a straight line in a simple linear regression model? 12.

3 Goodness-of-Fit Measures 3. In a simple linear regression model, if the plots on a scatter diagram lie on a straight line, what is the “coefficient of determination?” 12.3 Goodness-of-Fit Measures

4. Can the standard error of the estimate take on negative values? 12.3 Goodnessof-Fit Measures

5. What does the standard error of the estimate measure? 12.3 Goodness-of-Fit Measures

6. What does the R2 of a multiple regression of y on X1 and X2 measure? 12.3 Goodness-of-Fit Measures

7. How do Excel and virtually all other statistical packages report the p-value? 12.4 Tests of Significance P. 404

Answer 1

3. There are two qualitative variables for  the chi-square test of a contingency table a test of independence

4. Chi-square distribution is continuous so that we need at least 5 expected frequencies in each class satisfy subsequent assumptions, so that the chi-square test of a contingency table is valid . If it is less than 5 then the continuity of the data may vilate.

Chapter 12

1. What is the name of the variable that's used to predict another variable? 12.1 The Simple Linear Regression Model

Independent variable or regressor or explanatory variable.

2. The square root of mean square error is nothing but the  “standard error of the estimate” of a straight line in a simple linear regression model

3. The square of the correlation coefficient between dependent variable (x) nad the independent variable (xx) is called coefficient of determination in simple linear regression model

4. No, it is the positive square root of mean square error