## Two Categorical/Quantitative VariablesGiven in Class:
Note Packets to the Right as well as Against All Odds Student Guide Video In-Class Packet For this year's STATS class. Assigned Wednesday, Oct 16th, 2017. Due next class. Homework: Read Chapters 7 & 8 from the Textbook. Pg. 164-168 #3-7, #11-13 odds, #23, #27, #31-35 odds, #41. Turn to Page 189 and Add "What Can Go Wrong?" to Your Notes/Graphic Organizer. - You do not have to write everything, just each bullet and a brief note or summary that you can easily remember and makes sense. Teacher note from last year: Assigned October 14th, 2016 Assigned October 6th, 2016 Unit Began on October 6th- Now Complete as of 10/14/16 |

## Analyzing a Linear Relationship - RegressionsAssigned Tuesday/Wednesday, Oct 17th and 18th, 2017. Due next class.In-class: Working from Against All Odds Packet and 5 Steps to a Five Books. Homework: Finish Class Exercise Packet and Do the Following Problems: Pg. 193-197 #4, #6-13 all, #15-23 odds, #27-29 all, #35-43 odds. Some time will be used to complete and go over homework problems in class on Thursday. |

## Analyzing Association - Residuals/OutliersComplete a Unit 2 Graphic Organizer - If you need a guide, then you can look at your Against All Odds Packets under Sections: Key Words and Content Overview. Also look at Chapter 7,8, and 9 under the "What Can Go Wrong?" and "What Have We Learned?" sections at the end of each chapter. - You do not have to write everything, just each bullet and a brief note or summary that you can easily remember and makes sense. For the test next week, you will have to know how to find "y-hat" (Least Squares Regression Line, aka Best Fitting Line) and "r" (Correlation Coefficient) by hand for very small sets of data. Otherwise, you will be doing the calculations via calculator. |

## TransformationsAssigned Thursday, Oct 20th, 2016. Due next class.Homework: Watch the TI-84 video to the right. You will find it use for problems #17-end. Homework is Pg. 239-241 #5-11 odds (show all work), #17-20 all, #25-27 odds. There will be a group quiz on Monday/Tuesday and the Unit Test will be next week Wednesday/Thursday. The Unit II test is the final grade of the quarter. Make sure all previous homework assignments from this unit are completed. Complete a Unit 2 Graphic Organizer - If you need a guide, then you can look at your Against All Odds Packets under Sections: Key Words and Content Overview. Also look at Chapter 7,8, and 9 under the "What Can Go Wrong?" and "What Have We Learned?" sections at the end of each chapter. |

## Unit II Test Review

**Assigned Tuesday (Wednesday), Oct 24th(25th), 2017. Due next class.**

Homework: Pg. 245-250 #1-4 all, #6, #9-10 all, #16-17 all, #36-37, #40-41.

Please note it will be one of the final grades of the quarter, you want to do well on this, I will be staying after school to help make sure you do well for Wednesday!

Complete a Unit 2 Graphic Organizer - Review the Notes Packet given to you at the beginning of this lesson.

"What Can Go Wrong?" and "What Have We Learned?" sections at the end of each chapter.

Homework: Pg. 245-250 #1-4 all, #6, #9-10 all, #16-17 all, #36-37, #40-41.

Please note it will be one of the final grades of the quarter, you want to do well on this, I will be staying after school to help make sure you do well for Wednesday!

Complete a Unit 2 Graphic Organizer - Review the Notes Packet given to you at the beginning of this lesson.

"What Can Go Wrong?" and "What Have We Learned?" sections at the end of each chapter.

The test will be a little "nitpicky". Remember, you are finding linear regressions, that is the best-fitting prediction possible. Since its a prediction, you are using suggestive language. You can't say: If there are this many cars, there WILL BE this many buyers. WILL BE is stating it will happen. You should have said something akin to: "If there are this many cars, there is the potential (or could be) (or it is predicted) to have this many buyers." Nothing is definitive, just a really well calculated guess.

Take another look at page 174 and the rules of standard deviation with the correlation coefficient "r". The Standard Deviation of the Explanatory Variable will be greater than OR EQUAL the Standard of the Response Variable. StDev(Y) = "r"*StDev(x)

Remember your memorized phrases! Be sure to explain what your answer means in actual CONTEXT. And last but not least, please know you will be asked to do many of the calculations by hand. No calculator speak, show me the formulas. You may use a calculator to confirm your work, but you must show most of the calculations.