COVID-19 Regression Study

• To use our visualization tool, simply select an \(X\) variable and a \(Y\) variable of interest from the respective dropdown lists below, then click "Submit".
• Next, drag the date slider and observe changes in variable values, distributions, and pair-wise linear relationships over time.

In a simple linear regression study, the \(X\) variable represents the predictor variable while the \(Y\) variable represents the response variable.

The following regression equation quantifies the linear relationship between \(X\) and \(Y\) where \[Y = \text{intercept} + \text{slope} * X.\]

• The intercept term represents the predicted value of \(Y\) when \(X = 0\).
• The slope term represents the change in the predicted value of \(Y\) per unit change in \(X\).