1.(this page) Linear Regression

2. Linear Regression: Linear Regression 1

2.Link: **Transformations to Achieve Linearity**

3. Link: Test of Association - **Spearman's Rank Order Correlation**

Exploring a Linear Regression Model Using JMP TUTORIAL
Linear Regression Considerations:
  1. Determine if a linear model is a good fit looking at:
    • Correlation coefficient (r)
    • Residual plot
    • Coefficient of determination (r-squared)
    • Least Squares Line
    • Density Ellipse
  2. Interpret slope and y-intercept
  3. Explore potential of influential or outliers
  4. Use the line of best fit to predict values
  5. Even if one variable is potentially useful to predict another, can we imply correlation -> causation?