Briefly outline the two main approaches to variable selection in multiple linear regression models. What are the advantages and shortcomings of each approach?
What is the problem when trying to measure agreement between the values of two continuous variables?
In linear regression, what is the relationship between b0and b1and β0and β1?
What requirement does the outcome variable have to satisfy in a linear regression equation?
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