# slide11 - Introduction What does it mean when there is a...

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1 Introduction ± What does it mean when there is a strong positive correlation between x and y ? ± Regression analysis aims to find a precise formula to relate the movements of y to those of x ± The use of regression requires a good deal of thought and a good dose of skepticism 2 Example: Sales vs. Advertising Advertising (mil.\$) Sales (mil.\$) 1.2 120 1.6 190 1.8 260 2.2 260 2.6 300 3.1 290 3.4 330 3.6 330 4.0 340 4.2 310

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3 Example: Sales vs. Advertising 0 50 100 150 200 250 300 350 400 012345 4 Example: Sales vs. Advertising ± It is believed that sales, S , are tied to advertising, A , by a simple linear equation: ± What do β 0 and β 1 represent? ± How can we find β 0 and β 1 ? A S 1 0 β β+ =
5 Sales vs. Advertising ± The linear relation is usually not exact. ± A more realistic model: Where β 0 and β 1 are regression coefficients. i i 1 0 i A S ε β + + = 6 Measurement Error ± Properties of distribution ± A mean of zero ± Symmetry around zero ± An assignment of greater probability to small errors than to larger ones ± Errors are assumed to be: ± Independent ± Have same variance (

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## This note was uploaded on 05/05/2008 for the course IE 121 taught by Professor Perevalov during the Spring '08 term at Lehigh University .

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slide11 - Introduction What does it mean when there is a...

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