Multiple Linear Regression: Multiple linear regression describes the correlation between two or more independent variables and a dependent variable, also using a straight regression line.

In the worked example we already considered above, if we run the multiple linear regression, we would generate a 95% confidence interval (CI) around the regression coefficient for age, which is a ...

Linear Regression vs. Multiple Regression Example Consider an analyst who wishes to establish a relationship between the daily change in a company's stock prices and daily changes in trading volume .

Logistic regression makes categorical predictions (true/false, 0 or 1, yes/no), while regular linear regression predicts continuous outcomes (weight, house price). Where is Logistic Regression Used?