# Regression Coefficient, Confidence Interval

See data file attached.

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.

https://brainmass.com/statistics/regression-analysis/regression-coefficient-confidence-interval-324984

#### Solution Summary

A Complete, Neat and Step-by-step Solution is provided in the attached file.