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'CBC Colonial Broadcasting lesson Run regression he Regression stick For a detailed description of the inconsistents and the defined statistical terms used in this report, see   [ add 1 ]. Based on the archetype information provided and the statistical analysis, the following regression equation has been derived: Ratings = 13. 729 †1. 540* electronic bulletin board + 1. 281*Winter + 1. 164*Sunday +1. 593*Monday + 1. 854*Fact + 0. 910*(SQRT)Stars + 8. 413* record (Previous Rating) †10. 206 *Log (Competition) This equation accounts for 44. 3% of the sight variation in ratings, with a standard error of 1. 97 (see   [ propagation 3 ] for full details). Assumptions for this model can besides be found on the same Annex. methodological analysis Set up the model, choose the data The sample size of 88 observations is greater than 30 and thereof sufficient to be considered representative of the entire population. Ratings was chosen as the most appropriate dependent v ariable since the success of a network relies on how umpteen people watch their particular program/movie. An initial multiple regression was then run with either the remaining non-transformed variables against ratings.This resulted in an adjusted R2 value of 36%, meaning the regression equation accounts for 36% of the observed variation in ratings. The standard error was 2. 04, and the t-stats showed that all explanatory variable was statistically relevant moreover ABN, Month and Day (see   [ Annex 7 ]). Intuitively, near data points possibly could have a non-linear descent and different tests were performed to see what kind of relationships existed. It was concluded that some(prenominal) did exist an\r\n'