11/28/2016

Exam 2 results - see p:data\math\hartlaub\Elements of Statistics\Exam2.R

Follow up on a few things from Simple Linear Regression

• Sampling distribution of the slope parameter - see Rossman/Chance Simulating Regression Lines Applet
• Confidence interval for a mean response
• Prediction interval for a new response

Introduction to multiple regression

• Fitting a quadratic regression model
• Fitting two or more regression lines

In class exercises

• Return to our example of Nonlinear Regression (p:\data\math\hartlaub\Elements of Statistics\alligator.csv) - fit and assess a quadratic model for predicting the weight of an alligator.
• Fit a multiple regression model that fits two simple linear regression lines (one for men and one for women to the quantitative variables from our survey at the beginning of class). Do two regression lines fit better than one?

Please read Section 8.1 and P:\Data\MATH\STATS\Textbook-2016\SLR-CI and PI.pdf for class on Wednesday.