Prism offers two forms of simple regression: simple linear regression and simple logistic regression. Although these analyses are related, we discuss them separately. To learn more about the similarities and differences of simple linear regression and simple logistic regression, read more about them in the “Principles of Regression” portion of this guide (simple linear regression, simple logistic regression).
Simple linear regression fits a straight line through your data to find the best-fit value of the slope and intercept.
Simple logistic regression estimates the probability of obtaining a “positive” outcome (when there are only two possible outcomes, such as “positive/negative”, “success/failure”, or “alive/dead”, etc.).