Statistics Lab Work 12
Simple and Multiple Linear Regression
In linear regression, we discuss the estimation or forecasting of a dependent variable Y using a known independent variable X.
Multiple linear regression occurs when the dependent variable is connected to more than one independent variable. In this case, the resulting equation is known as a multiple linear regression equation. Here, we will limit our discussion to the case of two independent variables, X1 and X2. One measure of model goodness is the coefficient of determination R2, which indicates the proportion of the variability in variable Y that can be explained by variable X. However, a better practice is to use the adjusted R2 value, which provides an unbiased estimate of the population.
MODULE
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