Regression models in which the highest power of any predictor variable is 1 and in which there are no cross product terms are referred to as first-order models.
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Q3: The regression model y =
Q4: If a data set contains k independent
Q5: Recoding data cannot improve the fit of
Q6: If each pair of independent variables is
Q7: If two or more independent variables are
Q9: If the effect of an independent variable
Q10: A linear regression model can be used
Q11: A qualitative variable which represents categories such
Q12: A logarithmic transformation may be applied to
Q13: If a qualitative variable has c categories,
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