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LOS 8.g: Calculate and interpret the F-                         READING 8: MULTIPLE REGRESSION AND ISSUES IN REGRESSION ANALYSIS
    statistic, and describe how it is used in
    regression analysis.                                           MODULE 8.3: ANOVA AND THE F-TEST



     But, how do you test all the coefficients simultaneously? Conduct each t-test individually?

      No because 5% SL of each                                At exams, just use F if  testing all coefficients simultaneously.
      when combined is NOT 5% but higher.

      EXAMPLE: Calculating and interpreting the F-statistic: An analyst runs a regression of monthly value-stock returns on 5 independent
      variables over 60 months. The SST (total sum of squares) is 460, and the SSE (sum of squared errors) is 170. Test Ho at the 5% SL that all
      5 of the independent variables are equal to zero.











                                                                                                            The critical F-value for 5
                                                                                                            and 54 df at 5% SL is 2.40.


                                                                                                             It’s a 1TT (despite = sign),
                                                                                                             so use the 5% -always F-table!

                                                                                                             Decision?


                                                                                                             Reject Ho and conclude that at
                                                                                                             least one of the five independent
                                                                                                             variables is significantly different
                                                                                                             than zero.
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