In a simple linear regression model,the residual is the horizontal distance from the regression line to an observed data point.
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Q1: The value of the variation explained by
Q2: The simple linear regression model assumes that
Q4: The coefficient of determination is a number
Q5: For a given data set of (x,y)values,an
Q6: Another name for the residual term in
Q7: A regression analysis between weight (y
Q8: Simple linear regression requires that the scales
Q9: The simple linear regression model assumes that
Q10: The least-squares criterion requires that the sum
Q11: In the sample regression line
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