This document provides instructions for performing regression analysis in several steps: entering variables into the stat plot, viewing the shape of the relationship, calculating which regression model to use, and checking correlation coefficients. It also discusses different types of correlations in scatter plots and various regression models including linear, quadratic, exponential, cubic, power, and sine regressions. Students are assigned a worksheet with 10 practice problems testing linear and quadratic regressions.

1. Regression
Kahoot  first!

2. Steps
 Stat – Edit – Enter L1 and L2
 Y = to turn on your stat plot
 Zoom Stat (9) – because you want to see
what you just put into “stat”
 See what shape it is
 Stat – Calc which one you need
 Check out the r and r2

3. Scatterplots
 Positive Correlation
 Negative Correlation
 No Correlation

4. Scatter plots
 Strong Correlation
 Weak Correlation

5. Remember the shapes!
 Linear
 Quadratic
 Exponential Growth
and Decay
 Cubic

6. A couple new ones to you…
 PwrReg  SinReg

7. Let’s look at some problems!
#43-46  #50

8. Let’s look at some problems!
 #66  #67

9. Let’s look at some problems
 #51-54

10. Homework
 Worksheet (10 questions)
 These are all linear and quadratic, but please
know that you need to know the other types
as well…we will practice more tomorrow.