137581463 0735336 ms f 5202214 6966637 significance f

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

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...
View Full Document

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.

Ask a homework question - tutors are online