A regression analysis was performed and the summary output is shown below. Regression Statistics Multiple R 0.7193267530.719326753 R Square 0.5174309770.517430977 Adjusted R Square 0.4991055710.499105571 Standard Error 8.6995238488.699523848 Observations 165165 ANOVA dfdf SSSS MSMS F� Significance F� Regression 66 12,821.56512,821.565 2136.9282136.928 28.235728.2357 8.9037E-238.9037E-23 Residual 158158 11,957.71111,957.711 75.68275.682 Total 164164 24,779.27624,779.276 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 0.7193267530.719326753 R Square 0.5174309770.517430977 Adjusted R Square 0.4991055710.499105571 Standard Error 8.6995238488.699523848 Observations 165165 ANOVA dfdf SSSS MSMS F� Significance F� Regression 66 12,821.56512,821.565 2136.9282136.928 28.235728.2357 8.9037E-238.9037E-23 Residual 158158 11,957.71111,957.711 75.68275.682 Total 164164 24,779.27624,779.276 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
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A regression analysis was performed and the summary output is shown below.
Regression Statistics
Multiple R | 0.7193267530.719326753 |
---|---|
R Square | 0.5174309770.517430977 |
Adjusted R Square | 0.4991055710.499105571 |
Standard Error | 8.6995238488.699523848 |
Observations | 165165 |
ANOVA
dfdf | SSSS | MSMS | F� | Significance F� | |
---|---|---|---|---|---|
Regression | 66 | 12,821.56512,821.565 | 2136.9282136.928 | 28.235728.2357 | 8.9037E-238.9037E-23 |
Residual | 158158 | 11,957.71111,957.711 | 75.68275.682 | ||
Total | 164164 | 24,779.27624,779.276 |
Step 1 of 2 :
How many independent variables are included in the regression model
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