# 137581463 0735336 ms f 5202214 6966637 significance f

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Unformatted text preview: ificance F 3.21376E-05 74.67324 t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 384.214 -5.22289 0.0008 3566 -148.854 -384.214 -148.854 4.44189 8.346638 3.21E-05 4225 7.833269 4.441894 7.833269 Another example Example: Reed Auto Sales Reed Auto periodically has a special week-long sale. As part of the advertising campaign Reed runs one or more television commercials during the weekend preceding the sale. Data from a sample of 5 previous sales are shown on the next slide. Simple Linear Regression Example: Reed Auto Sales Number of TV Ads 1 3 2 1 3 Number of Cars Sold 14 24 18 17 27 Linear trend line 30 Cars Sold 25 20 y = 5x + 10 15 10 5 0 0 1 2 TV Ads 3 4 Coefficient of Determination Relationship Among SST, SSR, SSE SST = SSR + SSE ˆ ˆ ( yi y )2 ( yi y )2 ( yi yi )2 where: SST = SSyy =total sum of squares SSR = sum of squares due to regression SSE = sum of squares due to error Coefficient of Determination The coefficient of determination is: SSR SS yy SSE r SST SS yy 2 where: SSR = sum of squares due to regression SST = total sum of squares r2 = SSR/SST = 100/114 = .8772 The regression relationship is very strong; 88% of the variability in the number of c...
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## This note was uploaded on 09/28/2011 for the course STAT METHO 33:623:385 taught by Professor Faridalizadeh during the Spring '11 term at Rutgers.

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