A firm that operates a large, direct-to-consumer sales force would like to put in place a system to monitor the progress of new agents. A key task for agents is to open new accounts; an account is a new customer to the business. The goal is to identify "superstar agents" as rapidly as possible, offer them incentives, and keep them with the company. To build such a system, the firm has been monitoring sales of new agents over the past two years. The response of interest is the profit to the firm (in dollars) of contracts sold by agents over their first year. Among the possible predictors of this performance is the number of new accounts developed by the agent during the first three months of work. Formulate the SRM with Y given by the natural log of Profit from Sales and X given by the natural log of Number of Accounts. Complete parts (a) through (d) below. Ba Click the icon to view the data table of sales profits and number of accounts. (sss } SS Is the simple regression model a reasonable description of the association between the two variables? In particular, consider the conditions needed for the reliable use of the SRM. All the conditions for the SRM are satisfied. The residuals are not normal. There are obvious lurking variables. The association between y and x is not linear. The errors are not independent. \"moO w The variances of the residuals are significantly different