1 create a correlation matrix of the independent variables 2. Do a Durbin Watson statistic 3. Create a histogram 4. What is the sample regression equation? 5. Which variables are significant? 6 conduct a t test for significance 7. Has the normalcy been satisfied? 8. Do you see any indication of Multicollinearity? 9. Do you see any Indication of Autocorrelation? The value of the Durbin-Watson test statistics is, of course, equal to 2.06 (D-W =2.01 Rounded) Demonstrate and Explain Why. (Hint: Use the chart for Durbin Watson test provided in the Formula Sheet, copied below).SUMMARY OUTPUT Regression Statistics Multiple R0.751492 R Square0.56474 Adjusted R Square0.542757 Standard Error25118.86 Observations105 ANOVA dfSSMSFSignificance F Regression58.1E+101.62E+1025.690081.55E-16 Residual996.25E+106.31E+08 Total1041.44E+11 CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%Intercept-114647349850.7-0.32770.743829-808827579532.8- 808827579532.8093153319.1239587.10.6399310.523696-322074628712- 322074628712.005129063.2923460.207931.0512290.295713-56.1733182.7579- 56.1733182.7579463900-15.864519.68587-0.805880.422242-54.925623.19653- 54.925623.19653111.206948961-209668339649.5-0.617310.538449-883607464269.8- 883607464269.79229963610.0054380.0088940.6114140.542327-0.012210.023086- 0.012210.02308572 1 create a correlation matrix of the independent variables 2. Do a Durbin Watson statistic 3. Create a histogram 4. What is the sample regression equation? 5. Which variables are significant? 6 conduct a t test for significance 7. Has the normalcy been satisfied? 8. Do you see any indication of Multicollinearity? 9. Do you see any Indication of Autocorrelation? The value of the Durbin-Watson test statistics is, of course, equal to 2.06 (D-W =2.01 Rounded) Demonstrate and Explain Why. (Hint: Use the chart for Durbin Watson test provided in the Formula Sheet, copied below). Solution http://www.chem.missouri.edu/greenlief/courses/3340S10/Excel Handout.pdf.

1. 1 create a correlation matrix of the independent variables
2. Do a Durbin Watson statistic
3. Create a histogram
4. What is the sample regression equation?
5. Which variables are significant?
6 conduct a t test for significance
7. Has the normalcy been satisfied?
8. Do you see any indication of Multicollinearity?
9. Do you see any Indication of Autocorrelation? The value of the Durbin-Watson test statistics
is, of course, equal to 2.06 (D-W =2.01 Rounded) Demonstrate and Explain Why. (Hint: Use the
chart for Durbin Watson test provided in the Formula Sheet, copied below).SUMMARY
OUTPUT
Regression Statistics

2. Multiple R0.751492
R Square0.56474
Adjusted R Square0.542757
Standard Error25118.86
Observations105

3. ANOVA
dfSSMSFSignificance F
Regression58.1E+101.62E+1025.690081.55E-16
Residual996.25E+106.31E+08
Total1041.44E+11

4. CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper
95.0%Intercept-114647349850.7-0.32770.743829-808827579532.8-
808827579532.8093153319.1239587.10.6399310.523696-322074628712-
322074628712.005129063.2923460.207931.0512290.295713-56.1733182.7579-
56.1733182.7579463900-15.864519.68587-0.805880.422242-54.925623.19653-
54.925623.19653111.206948961-209668339649.5-0.617310.538449-883607464269.8-
883607464269.79229963610.0054380.0088940.6114140.542327-0.012210.023086-
0.012210.02308572
1 create a correlation matrix of the independent variables
2. Do a Durbin Watson statistic
3. Create a histogram
4. What is the sample regression equation?
5. Which variables are significant?
6 conduct a t test for significance
7. Has the normalcy been satisfied?
8. Do you see any indication of Multicollinearity?
9. Do you see any Indication of Autocorrelation? The value of the Durbin-Watson test statistics
is, of course, equal to 2.06 (D-W =2.01 Rounded) Demonstrate and Explain Why. (Hint: Use the
chart for Durbin Watson test provided in the Formula Sheet, copied below).
Solution
http://www.chem.missouri.edu/greenlief/courses/3340S10/Excel Handout.pdf