Dummy Variables And the Analysis of Covariance
Dummy Variables And the Analysis of Covariance
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In our eReader you can find the full English version of the book. Read Dummy Variables And the Analysis of Covariance Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book Dummy Variables And the Analysis of Covariance
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To quickly assess the difficulty of the text, read a short excerpt:
See Bryant [11, pp. 21^4-216 or F-razer [3], pp. 296-30^1.
- 5 - SSR(d) = ) (y. . - a. - b x. . ), i. E. , the sum of squared residuals ~'. From a regression with Dummy variables •^ included, with IJ - n - (l - l) degrees of freedom.
It should be clear that SSR(d) measures the unexplained or residual portion of the variation. Also, the combined reduction due to the x's and Z's is SS(y) - SSR(d). Since the reduction due to the inclusion of the x's is SS(y) - SSR(a), the incremental reduction due... to the inclusion of the Z's, the dummy variables, is [SS(y) - SSR(d)] - [SS(y) - SSR(a)]. That is, it is the reduction due to the combined effects of the x's and the Z's minus the effect of the x's. Simplifying, this becomes SSR(a) - SSR(d). In other words, the contribution of the dummy variables is meas- ured by the difference between the residual sum of squares after the in- clusion of the x's, but before the inclusion of the dummy variables, and the residual sum of squares after the inclusion of both the x's and the dummy variables.
What to read after Dummy Variables And the Analysis of Covariance?
You can find similar books in the "Read Also" column, or choose other free books by William L William Leo White to read onlineMoreLess
To quickly assess the difficulty of the text, read a short excerpt:
See Bryant [11, pp. 21^4-216 or F-razer [3], pp. 296-30^1.
- 5 - SSR(d) = ) (y. . - a. - b x. . ), i. E. , the sum of squared residuals ~'. From a regression with Dummy variables •^ included, with IJ - n - (l - l) degrees of freedom.
It should be clear that SSR(d) measures the unexplained or residual portion of the variation. Also, the combined reduction due to the x's and Z's is SS(y) - SSR(d). Since the reduction due to the inclusion of the x's is SS(y) - SSR(a), the incremental reduction due... to the inclusion of the Z's, the dummy variables, is [SS(y) - SSR(d)] - [SS(y) - SSR(a)]. That is, it is the reduction due to the combined effects of the x's and the Z's minus the effect of the x's. Simplifying, this becomes SSR(a) - SSR(d). In other words, the contribution of the dummy variables is meas- ured by the difference between the residual sum of squares after the in- clusion of the x's, but before the inclusion of the dummy variables, and the residual sum of squares after the inclusion of both the x's and the dummy variables.
What to read after Dummy Variables And the Analysis of Covariance?
You can find similar books in the "Read Also" column, or choose other free books by William L William Leo White to read onlineMoreLess
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