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Unformatted text preview: t Stat P-value Lower 95%Upper 95%Lower 95.0% Upper 95.0% Intercept 68 8.17743055 8.31557047 0.0036444696 41.97577 94.02423 41.97577 94.02423 X-3 0.65263001-4.5967853 0.0193489269-5.07696-0.92304-5.07696-0.92304 Predicted Y Yhat SSE (Y-Yhat)^2 SST (Y-Ybar)^2 SSR (Yhat - Ybar)^2 SSR(SumSquared due to regression). The bigger SSR, the higher the r^2. r^2 says what % of variablity in Y is explained by X SSE (Error is residual or difference between actual Y and estimated Y) SST This is bo This is slope or b1 When X increases 1, estimate of Y goes DOWN 3....
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This note was uploaded on 11/13/2011 for the course MBA 522 taught by Professor Nabavi during the Spring '08 term at Bellevue.
- Spring '08