The cubic regression model,y = β0 + β1x + β2x2 + β3x3 + ε,is used when we assume that the relationship between x and y should be captured by a function that has either minimum or maximum,but not both.
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Q1: A quadratic regression model is a special
Q2: The curve representing the regression equation
Q3: For the logarithmic model y = β0
Q4: It is not very informative to start
Q6: The quadratic regression model is appropriate when
Q7: The regression model ln(y)= β0 + β1
Q9: The log-log regression model is _ in
Q9: The fit of the regression equations
Q10: The cubic regression model allows for two
Q11: The fit of the models y =
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