Question: Regression Analysis 2 You run a regression analysis and receive the following results SUMMARY OUTPUT Regression Statistics Multiple R 0 .9697622171 R Square 0.940438758 Adjusted
Regression Analysis 2 You run a regression analysis and receive the following results SUMMARY OUTPUT Regression Statistics Multiple R 0 .9697622171 R Square 0.940438758 Adjusted R Square 0.92058501 Standard Error 360.0073099 Observations 5 IIIIIIII ANOVAT di SS M S F Sanificance Regression 11 6 139184 2116139184 2111 47 368327870 000 Residual 3 3 88.815.78951129605,26321 Total 146528000T IUSTI Intercept X Variable 1 Coefficients 2056. 58 1.50 Standard Error 4 54.25 0.1816 Stat 6.728812231 .882465029 P-value 0006701290 0.006283174 Refer to the Regression Analysis 2 above. To the nearest dollar, what would be the estimated total costs 500 units were produced? $ 2766 58 $2.806.58 $3.134.58 53.147.58
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