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# vv-3 - SUMMARY OUTPUT Regression Statistics Multiple R 0.61...

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Unformatted text preview: SUMMARY OUTPUT Regression Statistics Multiple R 0.61 R Square 0.38 Does not control for degrees of freedom. Adjusted R Square 0.37 % of the variation of the dependent variable explained by th Standard Error 0.09 Observations 74 > 30 for central limit theory to hold (law of large numbers) ANOVA analysis of variance df SS MS F Significance F Regression 1 0.34 0.34 43.65 Residual 72 0.56 0.01 Total 73 0.89 Coefficients tandard Erro t Stat P-value Lower 95% Intercept 0.03 0.01 3.24 0.01 X Variable 1 (Beta) 1.44 0.22 6.61 1.01 This is your point estimate of a beta to be used in the CAPM Rule of thumb, t-stat>2 you can reject the null. P-value translated t-stat into a probability We are 1-pvalue sure that the coefficient rejects the null hypothesis for th 99.999999% This sure the market has some explanatory power on AAPL For every one percent the market moves, AAPL stock moves 1.44%. RESIDUAL OUTPUT PROBABILITY OUTPUT Observation Predicted Y Residualsndard Residuals Percentile 1 0.06 0.11 1.22 0.68 2 0.01-0.08-0.88 2.03 3-0.14-1.59 3.38 4 0.08 0.03 0.3 4.73 5 0.03-0.11-1.23 6.08 6 0.08 0.07 0.84 7.43 7 0.02 0.08 0.94 8.78 8 0.04 0.1 1.15 10.14 9 0.01 0.07 0.76 11.49 10 0.08 0.09 1.07 12.84 11 0.03 0.03 0.32 14.19 12 0.07-0.02-0.22 15.54 13 0.03-0.13-1.45 16.89 14 0.05-0.13-1.53 18.24 15 0.05 0.07 0.82 19.59 16-0.01-0.14-1.6 20.95 17 0.03-0.08-0.86 22.3 18 0.04 0.15 1.67 23.65 19 0.06-0.07-0.75 25 20 0.07 0.07 0.76 26.35 21 0.08-0.03-0.29 27.7 22 0.06 0.07 0.84 29.05 23 0.05-0.13-1.44 30.41 24 0.05-0.04-0.49 31.76 25-0.01-0.17 33.11 26 0.05 0.05 0.58 34.46 27 0.1-0.02-0.24 35.81 28 0.08 0.13 1.54 37.16 29 0.01-0.01 38.51 30-0.01 0.09 1.06 39.86 31 0.05-0.01 41.22 32 0.08 0.02 0.27 42.57 33 0.05 0.18 2.1 43.92 34-0.03-0.01-0.12 45.27 35 0.02 0.07 0.76 46.62 36-0.05-0.26-3 47.97 37-0.02-0.06-0.68 49.32 38 0.02 0.12 1.41 50.68 39 0.1 0.11 1.27 52.03 40 0.05 0.04 0.42 53.38 41-0.09-0.02-0.26 54.73 42 0.02-0.07-0.8 56.08 43 0.05 0.02 0.18 57.43 44-0.1-0.23-2.66 58.78 45-0.21 0.16 1.8 60.14 46-0.07-0.06-0.73 61.49 47 0.04-0.12-1.41 62.84 48-0.09 0.15 1.67 64.19 49-0.13 0.12 1.33 65.54 50 0.16 0.02 0.24 66.89 51 0.17 0.03 0.33 68.24 52 0.11-0.03-0.35 69.59 53 0.03 0.02 0.17 70.95 54 0.14 0.01 0.08 72.3 55 0.08-0.05-0.6 73.65 56 0.08 0.02 0.2 75 57 0.01 0.14 76.35 58 0.12-0.06-0.63 77.7 59 0.06-0.05 79.05 60-0.02-0.07-0.79 80.41 61 0.07-0.01-0.1 81.76 62 0.12 0.03 0.35 83.11 63 0.05 0.06 0.65 84.46 64-0.08 0.07 0.79 85.81 65-0.04 0.02 0.27 87.16 66 0.13-0.11-1.25 88.51 67-0.04-0.02-0.23 89.86 68 0.16 0.01 0.09 91.22 69 0.09-0.03-0.29 92.57 70 0.03 0.04 93.92 71 0.13-0.09-1.04 95.27 72 0.07-0.01-0.16 96.62 73 0.08-0.04-0.44 97.97 74 0.03-0.01-0.08 99.32 he model 99.9999994% 1-signif F is how sure we are that the model rejects the null hypothesis....
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vv-3 - SUMMARY OUTPUT Regression Statistics Multiple R 0.61...

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