COMM 291 ASSIGNMENT 6

# 66 residual 23 136566362190 total 24 213051534456

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Unformatted text preview: ession df SS 1 764851722.66 Residual 23 1365663621.90 Total 24 2130515344.56 MS Coefficients Standard Error 764851722.66 F 0.002 12.88 59376679.21 t Stat Intercept 9701.33 6055.23 1.60 0.123 - 2824.86 22227.52 No. of Pages 1213.45 338.10 3.59 0.002 514.04 1912.85 ˆ b) Estimated regression equation: y = 9701.33 + 1213.45x The line is already plotted on the scatterplot above. c ) H o: β 1 = 0 H a: β 1 ≠ 0 F-stat = 12.88 OR t-stat = 3.59; either one gives a P-value of 0.002) There is strong evidence of linear relationship between design cost (y) and number of pages (x). d) 95% confidence interval for the marginal cost of an additional page on a new site. This question asks for a CI for the slope: From Excel output: (514.04 , 1912.85) By hand: t*(23 df) = 2.069 from the text and 2.068657 from Excel If you use 2.069 the CI is: 1213.45 ± 2.069(338.10) = 1213.45 ± 699.53 or (513.92 , 1912.98) The difference between the hand...
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## This note was uploaded on 01/16/2014 for the course COMM 291 taught by Professor E.fowler during the Fall '10 term at UBC.

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