To run linear regressions, your dataset must include at least two variables, and at least one of the variables must be.
- The explanatory variable can be either or.
- The response variable must be.
Under Settings, select the Explanatory Variable and Response Variable.
Numerical explanatory variable: A scatter plot is displayed with both a regression line and confidence bands.
Categorical explanatory variable: A box plot displays the relationship between the variables.
For both types, two tables are displayed below the plot:
- Model’s Summary Table
Shows the output for the regression analysis.
- Coefficient Summary Table
Shows hypothesis test results for each parameter in the regression model.
Adjust the Confidence Interval slider.
The confidence interval value, α, and confidence bands are updated.
Clear Regression Line or Confidence Bands to hide those from the scatter plot.
Click Scatter Plot of Residuals to see a scatter plot of residuals versus the
x-values.Click Probability Plot of Residuals to determine the fit of the regression line.