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SUMMARY OUTPUT Regression Statistics Multiple R 0.917540328 R Square 0.8418802534 Adjusted R Square 0.8350054819 Standard Error 2.200213436 Observations 25 ANOVA df SS MS F Significance
SUMMARY OUTPUT | |||||||||
Regression Statistics | |||||||||
Multiple R | 0.917540328 | ||||||||
R Square | 0.8418802534 | ||||||||
Adjusted R Square | 0.8350054819 | ||||||||
Standard Error | 2.200213436 | ||||||||
Observations | 25 | ||||||||
ANOVA | |||||||||
df | SS | MS | F | Significance F | |||||
Regression | 1 | 592.8183993 | 592.8183993 | 122.4593781 | 0.0000000001093612978 | ||||
Residual | 23 | 111.3416007 | 4.840939162 | ||||||
Total | 24 | 704.16 | |||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95% | Upper 95% | ||
Intercept | 48.19996311 | 2.191716716 | 21.99187639 | 0 | 43.66605167 | 52.73387455 | 43.66605167 | 52.73387455 | |
Vehicle Weight | -0.005951000127 | 0.0005377667356 | -11.06613655 | 0.000000000109361274 | -0.007063455371 | -0.004838544883 | -0.007063455371 | -0.004838544883 |
based on the output forr,r2, p-value, a,b, etc., do the 8-step regression analysis
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