Web Reference: As with simple linear regression, a multiple regression model can be used to make predictions about the dependent variable from specific values of the independent variables. Combining several predictors is often useful. An example of this is using body mass index, given by height divided by weight squared, in place of both height and weight, or using a total test score in place of the separate scores from each of several parts. Suppose we fit a multiple linear regression model using the predictor variables hours studied and prep exams taken and a response variable exam score. The following screenshot shows what the multiple linear regression output might look like for this model: Note: The screenshot below shows multiple linear regression output for Excel, but the numbers...
YouTube Excerpt: This StatQuest shows how the exact same principles from "simple"
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