Share
Explore BrainMass

# regression model

(See attached file for full problem description)

---
Q: The following data is given:

Date Advertising Price Quantity
January 25 12500 15
February 30 12200 17
March 26 11900 16
April 28 12000 18
May 27 11800 20
June 29 12500 18
July 28 11700 22
August 30 12100 15
September 24 11400 22
October 30 11400 25
November 25 11200 24
December 27 11000 30
January 29 10800 25
February 30 10000 28
March 32 10500 26
April 34 10200 27

Coefficients Standard Error

Intercept 93.58746223 15.1111
X Variable 1 -0.188963455 0.260751
X Variable 2 -0.005805731 0.000895

Sum of Squares
Regression 280.9876
Residual 76.01239
Total 357

1. Determine Degree of Freedom for

Regression __________
Residual __________
Total __________

2. Use the results above and write the regression equation.

3. Compute the coefficient of determination and fully interpret its meaning.

4. Is the regression model significant? Perform an F test and let &#945; = 0.05.

#### Solution Summary

Examine the regression model.

\$2.19