A linear regression is a straight line that describes how the values of a response variable \(y\) change as the predictor variable \(x\) changes. It should only be performed if you observe visually th...A linear regression is a straight line that describes how the values of a response variable \(y\) change as the predictor variable \(x\) changes. It should only be performed if you observe visually that there is a linear pattern in the scatterplot and that there is a statistically significant correlation between the independent and dependent variables. Subsections discuss residuals and the coefficient of determination, how to use the least squares equation for prediction, and how to identify out
A linear regression is a straight line that describes how the values of a response variable \(y\) change as the predictor variable \(x\) changes. It should only be performed if you observe visually th...A linear regression is a straight line that describes how the values of a response variable \(y\) change as the predictor variable \(x\) changes. It should only be performed if you observe visually that there is a linear pattern in the scatterplot and that there is a statistically significant correlation between the independent and dependent variables. Subsections discuss residuals and the coefficient of determination, how to use the least squares equation for prediction, and how to identify out
