mba 522 10 simple regression example 2

# mba 522 10 simple regression example 2 - Use Height of...

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Use Height of female swimmers to estimate their weight SSR SSE SST Use Height of female swimmers to estimate their weight X - Xbar Y - Ybar (Y^-Ybar)^2 (Y-Ybar)^2 SUMMARY OUTPUT 68 132 3 15 45 9 133.5 272.25 2.25 225 64 108 -1 -9 9 1 111.5 30.25 12.25 81 Regression Statistics 62 102 -3 -15 45 9 100.5 272.25 2.25 225 Multiple R 0.9603416567 this is the correlation coefficient (square root of equation 12.12). Sign must be determined from slope of trend line. 65 115 0 -2 -0 0 117 0 4 4 R Square 0.9222560976 66 128 1 11 11 1 122.5 30.25 30.25 121 Adjusted R Square 0.8963414634 this is the adjusted coefficient of determination. Use this in multiple regression analysis sum 325 585 110 20 605 51 656 Standard Error 4.1231056256 this is the standard error of regression (equation 12.16). Although that "may" not be part of your required reading. mean 65 117 Observations 5 number of observations in the sample. There were 5 paired values of X and Y. SST = SSR + SSE =
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## This note was uploaded on 11/13/2011 for the course MBA 522 taught by Professor Nabavi during the Spring '08 term at Bellevue.

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