Dependent Variable: EARNINGS Analysis of Variance Sum of Squares Mean Source DF

Question

Dependent Variable: EARNINGS Analysis of Variance Sum of Squares Mean Source DF Square F Value PrF 2509116 300016 8.36 Mode 1 Error Corrected Total 5018232 3600196 8618428 0.0053 14 Root MSE Dependent Mean Coeff Var 547.73748 R-Square 2577.13333 Adj R-Sq 0.5823 0.5126 21.25375 Paraneter Estimates Parameter Estimate Standard Error Variable DF t Value Pr > : t: 95% Confidence Limits Intercept -20.35201 AGE 652.74532 .67168 0.03 1.74 3.84 0.9756 1442.56189 0.1074 0.0024 -3.36470 05.33428 1401.85787 30 . 06559 382.09465 HOURS 243.71446

Explanation / Answer

Age coefficient = Age t value * Age standard error = 7.67168*1.74 = 13.34872

Hours standard error = Hours coefficient / t value = 243.71446 / 3.84 = 63.46731

The small difference is due to the rounding off errors as all the coefficients had been rounded upto 5 decimal places.

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