Linear regression is useful when you wish to predict the value of a quantitative variable based on a another quantitative variable.

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Linear regression is a statistical method used to model the relationship between two quantitative variables, where one variable is considered the predictor or independent variable and the other variable is considered the response or dependent variable. The goal of linear regression is to find the best-fitting straight line through the data points that can be used to predict the value of the response variable based on the value of the predictor variable. Therefore, linear regression is useful when you wish to predict the value of a quantitative variable based on another quantitative variable.

Linear Regression Is Useful When You Wish to Predict the Value