Today in class we continued our notes on linear regression. We learned how to find our best fit model by doing the math out on paper, and we also learned how to find the model by using our calculator. When we are given raw data, the quickest way to find our predictive model (best fit) is to use our calculator. We can plot the points with a scatter plot along with the regression line on our scatter plot.
We also talked about residuals and what it means to have a negative or positive residual. Before we jump into using the linear model we need to check that the residual plot does not have a pattern. If there is a pattern a linear model is not appropriate to use.
We also talked more about r and r^2 (r-squared). Make sure you understand what both of those mean.
Homework due Tuesday 11/8: Pg. 192 #1-13 odd, 21, 27-31 odd, 37, 41.
Class Notes 11/4
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