Study (again)!

Tomorrow we have round 2 of our linear regression exam! Be sure to prepare yourself to earn an A! 

Here are some suggestions of ways to study for tomorrow's test:

• Look over the chapter 8 "quiz" homework we had a couple weekends ago (which also had an answer key provided); this covered many of the topics on our test, including interpreting slope/intercept/R^2, describing an association, making predictions, and calculating residuals
• The bonus on tomorrow's test is based on the same topic as "Part II" from this chapter 8 quiz homework we had
• Look over your notes--re-read them, maybe even create an outline to get an overview of the "big ideas" from this unit
• Practice, practice, practice problems!
• Look over any assignments that were graded/returned--work on any problems you answered incorrectly and figure them out!
• Try practice problems in the "Review of Part II" on page 245
• Focus on odd numbered problems so you can check your answers in the back of the book
• Use the topics list below to help decide which problems to try
• Try the problems on the back of the multiple choice we looked at yesterday (first MC was the cricket chirps/temp question)
• Use a Barron's book (or other AP Study Guide)--these have plenty of practice free response/multiple choice questions with solutions--focus on any questions about linear regression
• If you do not have a Barron's review book and would like one just stop by and ask before/after class! I don't have enough for everyone, but I have some...
• Look back at/retry question 7 and 15 on page 215 (or any other hw problems)
• Watch AP Stat Guy Videos!

Our test tomorrow will have AP MC and AP Free Response; you will not have to create a scatterplot or find the LSRL equation with your graphing calculator (tomorrow).

After our test I will be passing out a little Normal model review homework to get us ready for some probability (on Friday)!

Here's an outline of the topics assessed on tomorrow's test:

• Describe an association shown in a scatterplot
• Look over your chapter 7 quiz!
• Determine if a linear model is appropriate (chapter 8 quiz)
• Interpret slope (chapter 8 quiz)
• Interpret y-intercept (and decide if a y-intercept interpretation in realistic) (chapter 8 quiz)
• Interpret R^2 (chapter 8 quiz)
• Find correlation (r)--like yesterday's stamp/MC
• Predict using a re-expressed model (like yesterday's stamp)
• Determine how a point (if added/removed) will affect slope, y-int, r (will they increase, decrease or stay the same) (look over your chapter 9 classwork from Thursday, returned yesterday)
• Use a linear model to make predictions (chapter 8 quiz)
• Calculate residuals (chapter 8 quiz)
• Predict using a re-expressed model (like yesterday's stamp MC or Monday's MC homework)
• Find an actual value given the LSRL equation and a residual (like the "backpack/books" MC stamp we had)
• Identify a point with the largest/smallest residuals or most/least leverage
• Read a computer output to write the LSRL equation and find R^2, r
• Determine if a prediction is expected to be too low, too high, or accurate based on a residual plot (like the strength of weed killer/predicted % killed open ended classwork we had)
• Interpret the meaning of a residual in a sentence
• Know what a + or - residual means
• Bonus: write the equation of the LSRL algebraically (you will be given formulas for slope, y-int)