Question

Since residuals measure how far the observations are from the regression line, they are often used to assess the fit of the regression line to the data. We might display these vertical deviations graphically using a residual plot. By plotting the residuals against the explanatory variable x, we effectively magnify the deviations (that is, change the y-axis from response to vertical deviations), which allows for a better and closer examination of the deviations. Describe what a residual plot would look like when a linear model is appropriate and an example of what a residual plot would look like where a linear model would not be appropriate. VERY IMPORTANT please tell me the steps used in RStudio to create plots (example plots)

Answer 1

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