Here is a question about economic statistics, I want to know the step-by-step answer, thanks.

Toys R Us is struggling to increase prots in the market. You have been hired to understand how an advertising campaign can be useful to boost company prots. They toy company has asked you to link its prots in various regions of the country to its advertising budget for that region. In particular, you estimate the following regression model {standard errors are in parentheses below the predicted values} log: Prof It) = 24.18 + 0.89 =- log(Advertising) (2.17) (0.04) n = 43.1?2 = 0.14 a. Interpret the estimated coefcient on loglAdvertising} b. Interpret the model. Does the model have any economic meaning? c. Your question of interest is: Does the company have unit elastic advertising expenditure? That is, a 1% increase in advertising expenditure leads to a predicted 1% increase in prots. State the null and alternative hypotheses. d. Test the above hypothesis at the 0.01 {99%) level and interpret your test. e. Suppose you learn that this company was adjusting its advertising budget according to the proportion of the population that were children in each region call this PropChil. That is. if a region had 30% of its residents who were children. [all else equal) it would be given a higher advertising budget than a region that had 15% of its residents who we re children. If PropChil positively impacts toy sales. would your estimated coefcient for logladvertising] be unbiased? Why or Why not? Explain carefully