The lm function can perform linear regression. The main argument is a model formula, such as y ~ x. The formula has the response variable on the left of the tilde character (~) and the predictor ...

The function estimates the regression coefficients, β0 and β1, and reports them as the intercept and the coefficient of x, respectively ... R uses the lm function for both simple and multiple linear ...

The coefficients of the multiple linear regression model tell you how much the dependent variable changes for a one-unit change in each independent variable, holding all other variables constant.

Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.