Hello Amber, Athila, Lindsey and Rachel,

     The class web page at

                   http://www.cs.uni.edu/~jacobson/4772/

     has a link to the code for chapter 3 of our textbook, which is what
we used on Tuesday this week in class.

     It now has the new link to the material we studied and tried out
from today's class (Thursday, September 3rd).

09/03/Thu: PLOT and LINEAR REGRESSION 
                      by John Verzani - Pages 77-84... 
                                          Class #4 Sep 3rd, 2015.

    **** simpleR -- Using R for Introductory Statistics
     is                   a free "textbook" PDF that my page links to.

Regression Analysis 77

 -- Simple linear regression model . . . .  . . . . . . . . . . . 77
 -- Testing the assumptions of the model .  . . . . . . . . . . . 78
 -- Statistical inference . . . . . . . .   . . . . . . . . . . . 79
 -- Problems . . . . . . . . . . . . .. . . . . . . . . . . . . . 83

Study this material to review what we covered today in class.

I will add some notes and commentary and R code for the additional
  skills and techniques we used today, which will be helpful for your review
  and in case you missed class.

Do the two Problems at the end of the PDF chapter on page 83 and 84.

13.1 The cost of a home depends on the number of bedrooms in the house. 

     Suppose the following data is recorded for a given town.

13.2 It is well known that the more beer you drink, 
     the more your blood alcohol level rises. 

     Suppose we have the following data on student beer consumption

I will post a review of this weeks class and more information on this
assignment that is due next Thursday in class or anytime before Friday
afternoon at 5 pm if you don't have it all done by Thursday class time.

Class #6 due date is Thursday September 10th, but later that day
or the next day is okay too.  By Friday at 5 pm if not done to
turn in during Thursday 09/10 class.

Have a great Labor Day holiday weekend!

Mark