Day 12 AGENDA: Quiz 2.1 & 2.2 --- 30 minutes Test Ch 1 & 2 is Thursday

EQ: How do you write a LSRL from computer output? Advanced Placement Statistics Section 3.2: Least Squares Regression Line (Part 2) EQ: How do you write a LSRL from computer output?

RECALL: Numerical Graphs Summaries mean stem plot box plot median histogram standard deviation variance range

Numerical Model Graphs Summaries scatter plot correlation least coefficient least squares regression line coefficient of determination

RECALL: LSRL Slope y-intercept

Turn to p. 209 in your textbook. pred(fat gain grams) = 3.505 – 0.00344(nonexercise activity calories)

Turn to p. 209 in your textbook. On average, for each additional nonexercise activity calorie, the predicted loss in fat grams will be 0.00344.

On average, approximately 60.6% of the variation in predicted fat gain is accounted for by the LSRL of fat grams on non exercise activity.

4. Using your LSRL from #1, locate the corresponding information in the Minitab output.

5. Locate the slope, y-intercept, correlation coefficient, and the coefficient of determination. XXXXXXX ZOMBIE

Turn to p. 211--- Finish the Tech Toolbox using NEA and FAT Turn to p. 211--- Finish the Tech Toolbox using NEA and FAT. Graph the LSRL then Use TABLE function to predict values using the LSRL.

In Class Assignment: WS: LSRL, Correlation, and Predictions REGISTER FOR AP EXAMS!!! Assignment: p. 211 - 214 #33 - 35, 37, 38