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SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression

Posted: Wed Jul 06, 2022 12:16 pm
by answerhappygod
Summary Output Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations Anova Regression 1
Summary Output Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations Anova Regression 1 (205.58 KiB) Viewed 9 times
SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Advert (RM) 0.607454298 0.369000724 0.355854906 48873.32347 df 50 SS MS F 67047616133 67047616133 28.06981792 1.14653E+11 2388601747 1 48 49 1.81701E+11 Significance F 2.90028E-06 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 172986.3182 15976.44421 10.82758566 1.75926E-14 140863.5242 205109.1123 140863.5242 205109.1123 10.42536636 1.96775728 5.298095688 2.90028E-06 6.468925178 14.38180754 6.468925178 14.38180754 b. Explain r-square value generated from regression analysis. Sales 400,000 350,000 300,000 250,000 200,000 150,000 100,000 50,000 0 0 2,000 4,000 ●●● 6,000 ●●●● Sales (RM) 8,000 Advert ●●●●● 10,000 y = 10.425x + 172986 R² = 0.369. 12,000 14,000 16,000 Sales (RM) Linear (Sales (RM))