Course Topics This course consists of two sections: Section 1 demonstrates linear regression to model the linear relationship between a response and predictor (s) when both the response and predictors ...

Estimating Coefficients and Predicting Values The equation y = mx +b represents the most basic linear regression equation: x is the predictor or independent variable y is the dependent variable or ...

Linear regression (also called simple regression) is one of the most common techniques of regression analysis. Multiple regression is a broader class of regression analysis, which encompasses both ...

Now that the chart is created, we can include regression analysis directly in the chart. Right-click on any data point in the chart and select Add Trendline as shown in Exhibit 8. Leave the Type as ...

A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...

Goodness-of-fit statistics for general multiple-linear-regression equations are reviewed for the case of replicated responses. A modification of the coefficient of determination is recommended. This ...