Abigail wants to attend a community college. Suppose x represents the number of credits she takes and y represents her total fees in dollars. Which of these statements are correct? Select all that apply. A.
If tuition amounts to $125 plus $150 per credit, the function that would model this situation is y = 150x + 125.

B.
If tuition amounts to $200 plus $175 per credit, the function that would model this situation is x = 175y + 200.

C.
If tuition amounts to $175 plus $150 per credit, the function that would model this situation is y = 175x + 150.

D.
If tuition amounts to $250 plus $275 per credit, the function that would model this situation is x = 250y + 275.

E.
If tuition amounts to $225 plus $200 per credit, the function that would model this situation is y = 200x + 225.

F.
If tuition amounts to $100 plus $125 per credit, the function that would model this situation is y = 125x + 100.

Trish receives $450 on the first of each month. josh receives $450 on the last day of each month. both trish and josh will receive payments for next four years. at a discount rate of 9.5 percent, what is the difference in the present value of these two sets of payments?

If a company produces x units of an item at a cost of $35 apiece the function c=35x is a of the total production costs

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?