A researcher is interested in the eventual divorce rates of people who live together before they get married compared to those who never cohabitate before marriage. Any difference found between these groups would be of interest to the researcher, as well as to the popular media. Which of the following is an appropriate null hypothesis for this research?
a. There is no difference in divorce rates between those who cohabitate and those who do not.
b. There is a difference in divorce rates between those who cohabitate and those who do not. c. People who cohabitate before marriage have a divorce rate twice as high as those who do not. d. People who do not cohabitate before marriage have a divorce rate twice as high as those who cohabitate.

1. the manager of collins import autos believes the number of cars sold in a day (q) depends on two factors: (1) the number of hours the dealership is open (h) and (2) the number of salespersons working that day (s). after collecting data for two months (53 days), the manager estimates the following log-linear model: q 4 equation 1 a. explain, how to transform the log-linear model into linear form that can be estimated using multiple regression analysis. the computer output for the multiple regression analysis is shown below: q4 table b. how do you interpret coefficients b and c? if the dealership increases the number of salespersons by 20%, what will be the percentage increase in daily sales? c. test the overall model for statistical significance at the 5% significance level. d. what percent of the total variation in daily auto sales is explained by this equation? what could you suggest to increase this percentage? e. test the intercept for statistical significance at the 5% level of significance. if h and s both equal 0, are sales expected to be 0? explain why or why not? f. test the estimated coefficient b for statistical significance. if the dealership decreases its hours of operation by 10%, what is the expected impact on daily sales?