A brokerage house wants to predict the number of trade executions per day, using the number of ...

     A   brokerage house wants to predict the number of trade executions per day,   using the number of incoming phone calls as a predictor   variable.  Data were collected over a period of 35 days and are   stored in the file trades.xls.   a. Use the least-squares   method to compute the regression coefficients b0 and b1.   b. Interpret the meaning of   b0 and b1 in this problem.   c. Predict the number of   trades executed for a day in which the number of incoming calls is 2,000.   d. Should you use the model   to predict the number of trades executed for a day in which the number of   trades executed for a day in which the number of incoming call is 5,000? Why   or why not?   e. Determine coefficient of   determination,   and explain its meaning in this problem.   j. Construct a 95% confidence   interval estimate of the mean number of trades executed for days in which the   number of incoming calls is 2,000.   k. Construct a 95% prediction   interval of the number of trades executed for a particular day in which the   number of incoming calls is 2,000.