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.

- Simple linear regression model – worked example. Let’s say we are interested in examining the relationship between blood pressure (BP) and age (in years) in a hospital ward. We can start by plotting ...

In linear regression, when there's just a single independent variable, the analysis is sometimes called simple linear regression to distinguish the analysis from situations where there are two or more ...

Linear regression can also be used to analyze the effect of pricing on consumer behavior. For instance, if a company changes the price on a certain product several times, it can record the ...

Building a linear regression model So far, I have explored the dataset in detail and got familiar with it. Now it is time to create the model and see if I can predict Yearly Amount Spent.

Linear regression forecasting is a time-series method that uses basic statistics to project future values for a target variable. Forecasting Methods.

We have fit a linear regression line (blue). We can now say that at $3k on the axis, that point on the regression line would match up to 35 conversions.