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Regression analysis is a common statistical technique used in finance and investment. Linear regression is one of the most common regression analysis techniques.
The difference between simple regression and multiple regression is a broader class of regression that includes linear and nonlinear regression with multiple explanatory variables.
A simple linear regression has only one x and y variable. Multiple linear regression has one y variable and two or more x variables. For example, predicting rent based only on square feet is a simple linear regression.
Regression analysis is usually performed for one of two purposes: to predict the value of the dependent variable for people for whom some information about the explanatory variable is available, or to estimate the effect of the explanatory variable on the dependent variable. is.
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