Download HW 6 (download) and use Linear Regression between GPA (dependent) and Reading to provide the following values: b1 = (Keep four decimal places) AJ SSR = (Keep one decimal place) . 08 fx B 2 G H 3 Regression Statistics 4 Multiple R 0.843656551 SR Square 0.711756376 6 Adjusted R S 0.708830045 7 Standard Erro 0.357963396 8 Observations 200 9 10 ANOVA 11 df SS MS Significance 12 Regression 2 62.33258283 31.16629141 243.2248187 6.11408E-54 13 Residual 197 25.24314517 0.128137793 14 Total 199 87.575728 15 16 Coeficients Standard Error Stor LO 95% Upper 95% Lower 95.0% Upper 95 ON 17 Intercept -2.344821256 0.242425961 9.672319126 2359788-18 -2.82290441 1.866738102 -2.82290441 -1.866738102 18 Reading 0.003755374 0.000254615 14.74924429 1.16633E-33 0.003253254 0.004257494 0.003253254 0.004257494 19 Math 0.004672902 0.000272607 17.14153564 6.488370-41 0.004135299 0.005210504 0.004135299 0.005210504 20 21 22 23 RESIDUAL OUTPUT PROBABILITY OUTPUT 24 25 Observation Predicted Freshman GPA Residuals Percentile Freshman GPA 26 1 2.804749747 -0.444749747 0.25 2.11 27 2.122165022 0.75 2 0.012165022 2.11 28 2.11 1.25 3 3.124382865 -0.194382865 29 3.123530232 1.75 2.11 4 -0.143530232 30 2.25 5 3.134410775 0.175589225 2.75 31 1.907723116 2.11 6 0.202276884 2.11 3.25 32 7 2.263204711 0.153204711 3.75 2.11 33 8 2.945789435 0.304210565 4.25 2.11 34 9 2.534403545 0.314403545 2.11 10 2.862359308 0.647640692 5.25 2.11 36 11 1.887667297 0.22233270) 5.75 2.11 37 12 3.050128015 0.560128015 6.25 2.11 30 13 3.300418397 -0.470418397 2.11 39 14 3.61172887 0.06827113 2.31 4.75 6.75 Sheet1 HW 6