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Unformatted text preview: t Value Pr > t 95% Confidence Limits Intercept 1 2.11405 0.32089 6.59 <.0001 1.47859 2.74951 act 1 0.03883 0.01277 3.04 0.0029 0.01353 0.06412 Dependent Predicted Std Error Obs Variable Value Mean Predict 95% CL Mean 95% CL Predict Residual 3 3.7780 3.2012 0.0706 3.0614 3.3410 1.9594 4.4431 0.5768 25 3.5560 3.2012 0.0706 3.0614 3.3410 1.9594 4.4431 0.3548 b) c) The prediction interval is wider than the confidence interval because the prediction interval introduces two sources of variances whereas the prediction interval only introduces one source of variance. Therefore the prediction interval should be wider than our confidence interval. 2.23 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 3.58785 3.58785 9.24 0.0029 Error 118 45.81761 0.38828 Corrected Total 119 49.40545 Root MSE 0.62313 RSquare 0.0726 Dependent Mean 3.07405 Adj RSq 0.0648 Coeff Var 20.27049...
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 Spring '08
 Staff
 Statistics, Normal Distribution, Regression Analysis, Prediction interval, Student's tdistribution, Variable Intercept act

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