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Unformatted text preview: Problem 2: You run a regression analysis and receive the following results: Multiple R .39429 R Square .15547 Adjusted R Square .14964 Standard Error .44416 Analysis of Variance DF Sum of Squares Mean Square Regression 1 5.26588 5.26588 Residual 145 28.60536 .19728 F = 26.69262 Signif F = .0000 Variables in the Equation Variable Coefficients Standard error t Stat Pvalue X Variable 1 11.0300 .021000 5.166 .0000 Intercept 8833.0700 .090000 9.751 .0000 Required : A. What is the fixed cost in this regression analysis? 8833.07 B. What is the variable cost per unit? 11.03 C. Prepare the cost equation based upon these results. 8833.07 + 11.03x D. Does this regression equation "fit" the data well? What information did you examine to answer this question? No. R square = 0.15. Only .15 is of the variation in overhead coast is explained by increasing or decreasing. The independent variable is not reliable....
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This note was uploaded on 02/03/2011 for the course BUS 3101 taught by Professor Loyd during the Spring '09 term at Dallas.
 Spring '09
 loyd
 Accounting, Finance, Business

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