Use technology and a t-test to test the claim about the population mean mu at the given level of significance alpha using the given sample statistics. Assume the population is normally distributed. Claim: mu greater than71; alpha equals0.05 Sample statistics: x overbar equals73.9, sequals 3.7, nequals 25 What are the null and alternative hypotheses? Choose the correct answer below. A. H0: mu equals71HA: mu not equals71 B. H0: mu less than or equals71HA: mu greater than71 C. H0: mu greater than or equals71HA: mu less than71 D. H0: mu not equals71 HA: mu equals71 What is the value of the standardized test statistic? The standardized test statistic is nothing . (Round to two decimal places as needed.) What is the P-value of the test statistic?P-valueequals nothing (Round to three decimal places as needed.) Decide whether to reject or fail to reject the null hypothesis. Choose the correct answer below. A. Reject Upper H 0 . There is enough evidence to support the claim. B. Fail to reject Upper H 0 . There is not enough evidence to support the claim. C. Reject Upper H 0 . There is not enough evidence to support the claim. D. Fail to reject Upper H 0 . There is enough evidence to support the claim.

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?