There is a correlation between a major league baseball team's spring training dates and the
amount of rainfall in that city during the same period. during the spring training dates the
rainfall increased, and after spring training the rainfall dropped off.
which of the following statements are true? select all that apply.
a value of r = .79 is a possible measurement for the correlation coefficient of this association.
the strength of the correlation between the two quantities is probably hard to determine with the
information given.
high amounts of rainfall being normal for the area could be a variable influencing the correlation.
a value of -9.84 could be a reasonable slope for the function equation.
there is a causation between the spring training dates and the amount of rainfall in that city during
the same period.

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?