Confidence Intervals. Underlying model: Unknown parameter We know how to calculate point estimates E.g. regression analysis But different data would change our estimates. So, we treat our estimates as random variables Want a measure of how confident we are in our estimate.
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(1-a) of the time.
Value Std. Error t value Pr(>|t|)
(Intercept) -0.0898134 0.0507787 -1.7687217 0.0867802
PG -0.0423712 0.0098406 -4.3057672 0.0001551
Y 0.0001587 0.0000068 23.4188561 0.0000000
PNC -0.1013809 0.0617077 -1.6429209 0.1105058
PUC -0.0432496 0.0241442 -1.7913093 0.0830122
Residual standard error: 0.02680668 on 31 degrees of freedom
Multiple R-Squared: 0.9678838
F-statistic: 233.5615 on 4 and 31 degrees of freedom, the p-value is 0