In a study of government financial aid for college students, it becomes necessary to estimate the percentage of full-time college students who earn a bachelor's degree in four years or less. Find the sample size needed to estimate that percentage. Use a 0.05 margin of error and use a confidence level of 90%. Complete parts (a) through (c) below.
a. Assume that nothing is known about the percentage to be estimated
-ח
(Round up to the nearest integer.)
b. Assume prior studies have shown that about 55% of full-time students earn bachelor's degrees in four years or less.
(Round up to the nearest integer.)
c. Does the added knowledge in part (b) have much of an effect on the sample size?
A. Yes, using the additional survey information from part (b) only slightly increases the sample size.
B. No, using the additional survey information from part (b) does not change the sample size.
OC. No, using the additional survey information from part (b) only slightly reduces the sample size.
OD. Yes, using the additional survey information from part (b) dramatically reduces the sample size.
toto answers)

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?