From the below data perform a multiple regression. What is the R ? How much of this R can be attributed to chance? Total Number of Age of Warehouse (Years) Market Price (thousands of dollars) Square Feet y X1 X2 63.0 1,605 35 65.1 2,489 45 69.9 1,553 20 76.8 2,404 32 73.9 1,884 25 77.9 1,558 14 74.9 1,748 8 78.0 3,105 10 79.0 1,682 28 83.4 2,470 30 *(Round your answers to 4 decimal places, e.g. 1.7578.) **(Round your answers to 3 decimal places, e.g. 1.757.) The regression equation for given model is: ý = *+ * X1 * X2 R2 = ** and expected value of R2 Thus, v o find R close to the true value of ** purely by chance. can expect Appendix A Statistical Tables can't expect Hint
From the below data perform a multiple regression. What is the R ? How much of this R can be attributed to chance? Total Number of Age of Warehouse (Years) Market Price (thousands of dollars) Square Feet y X1 X2 63.0 1,605 35 65.1 2,489 45 69.9 1,553 20 76.8 2,404 32 73.9 1,884 25 77.9 1,558 14 74.9 1,748 8 78.0 3,105 10 79.0 1,682 28 83.4 2,470 30 *(Round your answers to 4 decimal places, e.g. 1.7578.) **(Round your answers to 3 decimal places, e.g. 1.757.) The regression equation for given model is: ý = *+ * X1 * X2 R2 = ** and expected value of R2 Thus, v o find R close to the true value of ** purely by chance. can expect Appendix A Statistical Tables can't expect Hint
Chapter4: Linear Functions
Section: Chapter Questions
Problem 30PT: For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or...
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