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Based on these regression results from Lab 5.1 Excel, Evaluating the Relationsh...

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Based on these regression results from Lab 5.1 Excel, Evaluating the Relationship Between Sales and R&D Expenditures, how much of the variance in sales revenue is explained by R&D expenditures?

Under regression statistics, the following values are shown: Multiple R, 0.686491894. R square, 0.471271121. Adjusted R square, 0.466283113. Standard error, 7400410.253. Observations, 108. In the ANOVA table at the center, values are shown as follows: Regression: d f, 1. S S, 5.17434E +15. M S, 5.17434E +15. F, 94.48082. Significance F, 2.39098 E minus 16. Residual: d f, 106. S S, 5.0852E + 15. M S, 5.47661E +13. Total: d f, 107. S S, 1.09795E + 16. In the table at the bottom, the entries are shown as follows: Intercept: Coefficients, 7387039.008. Standard error, 2527280.247. t Stat, 2.922920406. P value, 0.00424. Lower 95 percent, 2376460.11. R and D expenditures: Coefficients, 9.281064367. Standard error, 0.954829777. t Stat, 9.720124558. P value, 2.39E minus 16. Lower 95 percent, 7.388021465.

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