Ex_2_goods - So to cause an increase in market share of 2 an increase of 6 in the rating is required(2/0.3378 The model is shown to be valid by the

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Vinze, Lucas Exercise 1 – 9:30 Setember 14, 2007 Table 2 Regression Output Summary R Square 0.8391 Standard Error 2.055 Significance F 3.22E-12 Coeff Intercept 0.9472 P-value Rating 0.3378 3.22E-12 In table 1, rating and market share are compared. Rating is the independent variable and market share as the dependent. Rating and market share are shown to have a strong linear relationship, given that the R 2 =0.8391. This means that 83% of the variation between rating and market share can be explained by the given equation. The slope of the regression line is 0.3378.
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Unformatted text preview: So, to cause an increase in market share of 2%, an increase of 6 in the rating is required (2/0.3378). The model is shown to be valid by the extremely small values of the P-value and the Significance of F, both of which are well below 0.05. Table 3 Assessment Summary Style Max Self Instructor Graph 5 5 Table 5 5 Words 5 5 Overall 3 5 Content Graph 5 5 Table 5 5 Discussion 5 5 Total 33 33 Points 15 15...
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This note was uploaded on 04/17/2008 for the course WCOB 2023 taught by Professor Billthompson during the Fall '07 term at Arkansas.

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