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

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Summary Output Multiple R R Square Adjusted R Square Standard Error Observations Anova Regression Statistics Regression 1 (232.4 KiB) Viewed 5 times

SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Statistics Regression Residual Total 0.183575061 0.033699803 0.013568549 60480.23591 df 50 1 SS 6123271078 1.75577E+11 48 49 1.81701E+11 MS F 6123271078 1.674004161 3657858936 b. Explain r-square value generated from regression analysis. Significance F 0.201914269 Coefficients Standard Error 263703.0577 14038.53445 t Stat P-value Lower 95% 18.78422984 9.20184E-24 235476.6924 Upper 95% Lower 95.0% Upper 95.0% 291929.423 235476.6924 291929.423 Intercept IT Training Expenditure (RM) -13.32136301 10.29604416 -1.293833127 0.201914269 -34.02294726 7.380221241 -34.02294726 7.380221241 Sales 400,000 350,000 300,000 250,000 200,000 150,000 100,000 50,000 0 0 ●●●● ●●● ● 500 1,000 Sales (RM) y13.921x+.263.703... R² = 0.0337 1,500 2,000 IT Training Expenditure 2,500 3,000 3,500 Sales (RM) Linear (Sales (RM))