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The link between two quantitative variables is estimated using simple linear regression. When you need to know the following, you can apply simple linear regression. What is the strength of the association between two variables? (e.g. the relationship between rainfall and soil erosion).

To model the relationship between two continuous variables, simple linear regression is utilised. The goal is frequently to anticipate the value of an output variable (or responder) based on the value of an input variable (or predictor).

One of the most basic and widely used Machine Learning methods is linear regression. It's a statistical technique for performing predictive analysis. Sales, salary, age, product price, and other continuous/real or numeric variables are predicted using linear regression.

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