SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Regress

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Summary Output Multiple R R Square Adjusted R Square Standard Error Observations Anova Regression Residual Total Regress 1 (219.86 KiB) Viewed 9 times

SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Regression Statistics Intercept Product Development Expenditure (RM) 0.06235375 0.00388799 -0.016864343 61406.10214 df 50 1 SS 706449745.2 1.80994E+11 48 49 1.81701E+11 MS F 706449745.2 0.187351947 3770709380 Coefficients Standard Error t Stat 254039.9718 13976.21738 18.17658991 -0.280272693 0.647517755 -0.432841712 b. Explain r-square value generated from regression analysis. Significance F 0.66706849 P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 3.68589E-23 225938.9034 282141.0402 225938.9034 282141.0402 0.66706849 -1.582194397 1.021649011 -1.582194397 1.021649011 Sales 400,000 350,000 300,000 250,000 200,000 150,000 100,000 50,000 0 0 000 Sales (RM) Vertical (Value) Axis Minor Gridlines 10,000 ●● -0.2803x.t.254040... R² = 0.0039 20,000 30,000 40,000 Product Development Expenditure ● 50,000 60,000 Sales (RM) Linear (Sales (RM))