The lecture Linear Regression by David Spade, PhD is from the course Statistics Part 1. It contains the following chapters:
Which of the following is not true of the linear model?
Which of the following is not true of the relationship between linear regression and correlation?
Suppose the variables X and Y are linearly related through the regression equation Y= 12.5  0.275 X. What do we know from this equation?
Which of the following is not true of the R² quantity?
When we look at a scatterplot, what indicates a lack of violations of these assumptions?
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