A theme of the textbook is that families are diverse. Describe the diversity of the family and explain how your family is diverse.

Question 2 (5 pts)

There are many theoretical perspectives about how families work and how they fit into society. Compare and contrast two theories from the course textbook. Critique each theory and include your personal opinion of each theory.

Question 3 (5 pts)

Trends in marriages and families are driven by different forces. Identify and explain the four major factors that promoted changes in modern marriages and families.

Question 4 (5 pts)

Humans were created for relationships, and we form and develop relationships with others. Discuss how friendships are similar and different from love relationships. Please include personal examples from your friendships and love relationships in your answer.

Question 5 (5 pts)

Define the term sexual script. Compare and contrast traditional female, traditional male, and contemporary sexual scripts.

Admissions directors of graduate business programs constantly review the criteria they use to make admission decisions. Suppose that the director of a particular top-20 MBA program is trying to understand how she and her staff discriminate between those who are admitted to their program and those who are rejected. To do this, she collects data on each of the following variables for 100 randomly selected individuals who applied in the past academic year: whether the applicant graduated in the top 10% of his or her undergraduate class, whether the admissions office interviewed the applicant in person or over the telephone, the applicant’s overall GMAT score (where the highest possible score is 800), and the applicant’s undergraduate grade-point average (standardized on a four-point scale). These data are provided in the file P17_03.xlsx. Use logistic regression to discriminate between those who are admitted to this MBA program and those who are not on the basis of these variables.

Using all the variables, what are the logistic regression model coefficients? Round your answers to one decimal place, if necessary. If your answer is a negative number, enter a “minus” sign.

The logistic regression model classifies the applicants very well. However, all the p-values are very high, due to collinearity. Refine the model by removing one at the time all the collinear variables until all variables left are significant at any reasonable level of significance. What is the final model? Enter a coefficient of zero for any variable removed from the model. Round your answers to one decimal place, if necessary. If your answer is a negative number, enter a “minus” sign.