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• ## Discussion

 1 answerLast reply by: Sandahl NelsonThu Mar 17, 2016 4:50 PMPost by Xiaming Jin on February 24, 2016On calculator, why we should use LinReg y=a+bx? If use ax+b, does that means just exchange the value of a and b?

### Correlation & Regression

Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.

• Intro 0:00
• Objectives 0:07
• Scatterplots 0:30
• Scatterplots
• Interpreting Scatterplots 2:20
• Direction
• Form
• Strength
• Example: Describe the Direction, Form, and Strength of the Scatterplot 4:00
• Correlation Coefficient ( r ) 5:22
• Correlation Coefficient ( r )
• Example: Correlation Coefficient ( r ) 7:52
• Approximate the Correlation Coefficient
• Interpret the Correlation Coefficient
• Least Squares Regression Line (LSRL) 9:23
• Least Squares Regression Line (LSRL)
• Interpreting the LSRL 10:45
• y-intercept, Slope, Mean, and SD
• Example: Interpreting the LSRL 14:48
• Step 1: Determine the Least-squares Regression Line
• Step 2: Interpret the Slope and y-intercept of the Regression Line
• Step 3: Interpret the Correlation
• Coefficient of Determination 23:50
• R² = (r)²
• Residuals 26:04
• Residual = Observed y - Predicted y
• Residual Plot
• Example: Calculate the Residual 28:33
• Example: Draw the Residual Plot 31:18
• Example I: Explanatory Variable & Response Variable 37:47
• Example II: Find the Least-squares Regression Line 39:08
• Example III: Calculate the Residual 44:10
• Example IV: Predicted Value 47:50
• Example V: Residual Value 49:28