STAT1008 Chapter Notes - Chapter 9: Analysis Of Variance, Prediction Interval, Dependent And Independent Variables

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Con dence intervals and hypothesis tests for the slope can be done using the familiar formulas : Con dence interval for slope b1 and se come from computer output t* uses n-2 degrees of freedom. Test for slope b1 and se come from computer output. Recall that for correlation: -1 r 1. If we square the correlation, r 2, we get a number between 0 and 1 that can be interpreted as a percentage. R 2 = proportion of variability in response variable y that is explained by the model based on the predictor x. For a simple linear model, we assume the errors are randomly distributed above and below the line. R 2 = % of variability in response y that is explained by the model. Ex: n= 50 stat students, y= final, x= exam #1 r= 0. 7135 -> r 2 = (0. 7135) 2 = 0. 509. R 2 = variability explained by model / total variability in y.

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