Sorry I was absent...test is still on

I'm really sorry I didn't make it in today guys. I know we were supposed to have a review--since I couldn't be there to help you study and the test is STILL FRIDAY, here are some tips for studying...

• Use your Barron's book! Remember that white paperback I handed out in class? Use it! Go to the section on "Bivariate Data" and look at examples.
• Use the blog! Use the "Stat Tutorials" link to study topics regarding linear regression.
• Use your textbook! Look at chapters 7-9 primarily. There will be little from chapter 10.
• Do the practice problems mentioned in the previous post! Not only will these help you study, but they'll get you a few extra credit problems. To get the extra credit you must show work (since the answers are in the back of the book). Use the back to check your answers though for sure!
• Use the packet we filled out in class with all the writing templates typed out! If you know that packet, you're golden.
• If I were you, or if I wrote a test on Linear Regression, I'd study these topics--these may or may not be the test questions... :)

1. Is a linear model appropriate? (Check the 3 conditions!)
2. Describe an association (describe shape, direction, and strength, reference r and R^2)
3. Write the equation from a computer output (or if given the data)
4. Interpret slope (remember, slope is rise over run--rewrite this in context to deduce the meaning)
5. Interpret y-intercept (remember from Algebra, for the y-int x=0. So this tells us the predicted value if the explanatory variable is 0).
6. Interpret the coefficient of determination (R^2 tells us the percent of variation in the response variable that can be accounted for by variation in the explanatory; or, it tells us the percent of variation in the response that can be attributed to a linear relationship with the explanatory).
7. Use a model to predict ("plug n' chug")
8. Calculate a residual ("plug n' chug," then actual minus predicted--y-yhat)
9. Predict for an x-value outside those given--extrapolation! (not confident in this prediction)
10. Recognize outliers, leverage, and influence from a graph.

Study! And don't forget your multiple choice tests Friday! Hopefully the class time to work on them helped!