Answer the following questions using the statistics presented in these tables. Make sure to answer all parts of the question to get full credit.

**Empirical evidence includes descriptive statistics such as a percentages or a mean, or regression statistics such as a b coefficient or R****2****. Statistical evidence refers to the p value from any statistical test. Sometimes the latter is denoted by an * and sometimes reported in table footnotes. As discussed in Module 8, use the p value to determine statistical significance. **

1. (15 points) What is (are) the dependent variable(s)?

2. (15 points; 7.5 points each part) a. Interpret the statistical significance of the age coefficient for fear of cyberstalking by intimate partner. b. Present statistical evidence to support your interpretation.

3. (15 points; 7.5 points each part) a. Interpret the effect of the age coefficient on fear of cyberstalking by friend/acquaintance. Present empirical evidence to support your interpretation. b. Explain what happens to the value of dependent variable when there is a one-unit change in the age, while taking into account the effect of the other variables in the model.

4. (10 points; 5 points each part). a. Interpret the statistical significance of the age coefficient for fear of cyberstalking by a stranger. b. Present statistical evidence to support your interpretation.

5. (10 points) Assess the Adjusted R2 for each of the three regression models. Which model has the largest Adjusted R2? Explain your answer using empirical evidence.

6. (10 points) Interpret the Adjusted R2 for the fear of cyberstalking by a stranger.

7. (10 points; 5 points each part) a. Interpret the significance of the gender coefficient for fear of cyberstalking by intimate partner. b. Present statistical evidence to support your interpretation.

8. (15 points; 7.5 points each part) a. Interpret the effect of the gender coefficient for fear of cyberstalking by intimate partner. Females are coded 1 for gender. Present empirical evidence to support your interpretation. b. Explain what happens to the value of the dependent variable when gender = 1 (females), while taking into account other variables in the model.

** **

Answers must be thorough. I need 100%

Subject | Mathematics |

Due By (Pacific Time) | 03/06/2015 11:00 pm |

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