# 8772 the regression relationship is very strong 88 of

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Unformatted text preview: ars sold can be explained by the linear relationship between the number of TV ads and the number of cars sold. Sample Correlation Coefficient rxy SS xy SS xx SS yy rxy ( sign of b1 ) r 2 The sign of b1 in the linear equation is “+”. rxy = +.9366 Using the model for prediction and estimation ˆ Standard deviation of y of the mean value of y at a specific value of x, say xp yˆ 2 1 (xp x) n SS xx ˆ Standard deviation for the prediction error for y of an new y at a specific value of x, say xp y yˆ 2 1 (xp x) 1 n SS xx Using the model for prediction and estimation Confidence interval for the mean value of y at a specific value of x=xp 2 1 (xp x) ˆ y t / 2 s n SS xx Prediction interval for a new y at a specific value x=xp 2 1 (xp x) ˆ y t / 2 s 1 n SS xx Why the Extra ‘S’? Y Y w e're trying to predict e Expected (Mean) Y ^0 ^= b ^ 1X i +b Yi E(Y) = b 0 + b 1X Prediction...
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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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