Holding on to independence: The Linear model

Continuing to ignore the repeated-measures structure of the data, we will fit a multiple linear regression model with weight as response and Time and Group as explanatory variables.

Recall again from Chapter 1: Multiple regression that this is done by defining explanatory variables with the formula argument of lm(), as below

y ~ x1 + x2 + ..

Here y is again the target variable and x1, x2, .. are the explanatory variables.

Create a regression model with Weight as the response variable and Time and Group as explanatory variables
Print out the summary of the model
Observe 1) How Group2 and Group3 differ from Group1 conditional on Time and 2) The significance of the regression on Time

Exercise

Holding on to independence: The Linear model

Instructions

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Instructions

Exercise