Linear Regression cont.

In class students continued working on linear regression which is our second statistical model we have encountered in the course.  In class students learned how to calculate residuals (e = y - y hat).  They also learned that r is the correlation coefficient and r-squared is the coefficient of determination.  If r-squared is .25 that means that 25% of the variation in y can be explained by x.

Students also learned about extrapolation which is predicting for values that are outside our data range.

The homework is listed below and the notes are attached.

Notes - Linear Regression cont.

HW - Complete pgs. 192-198 (1-13 odd, 21, 27, 29, 31, 37, 41)
          Read pgs. 201 - 210

Investigative Task #4 - Smoking - Due Monday 10/20