A regression analysis was performed and the summary output is shown below. Regression Statistics Multiple R 0.7204030110.720403011 R Square 0.5189804980.518980498 Adjusted R Square 0.4986557300.498655730 Standard Error 8.5090076558.509007655 Observations 7575 ANOVA dfdf SSSS MSMS F� Significance F� Regression 33 5546.3155546.315 1848.7721848.772 25.534425.5344 2.5815E-112.5815E-11 Residual 7171 5140.6285140.628 72.40372.403 Total 7474 10,686.94310,686.943 Step 1 of 2 : How many independent variables are included in the regression model
A regression analysis was performed and the summary output is shown below. Regression Statistics Multiple R 0.7204030110.720403011 R Square 0.5189804980.518980498 Adjusted R Square 0.4986557300.498655730 Standard Error 8.5090076558.509007655 Observations 7575 ANOVA dfdf SSSS MSMS F� Significance F� Regression 33 5546.3155546.315 1848.7721848.772 25.534425.5344 2.5815E-112.5815E-11 Residual 7171 5140.6285140.628 72.40372.403 Total 7474 10,686.94310,686.943 Step 1 of 2 : How many independent variables are included in the regression model
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
A regression analysis was performed and the summary output is shown below.
Regression Statistics
Multiple R | 0.7204030110.720403011 |
---|---|
R Square | 0.5189804980.518980498 |
Adjusted R Square | 0.4986557300.498655730 |
Standard Error | 8.5090076558.509007655 |
Observations | 7575 |
ANOVA
dfdf | SSSS | MSMS | F� | Significance F� | |
---|---|---|---|---|---|
Regression | 33 | 5546.3155546.315 | 1848.7721848.772 | 25.534425.5344 | 2.5815E-112.5815E-11 |
Residual | 7171 | 5140.6285140.628 | 72.40372.403 | ||
Total | 7474 | 10,686.94310,686.943 |
Step 1 of 2 :
How many independent variables are included in the regression model
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