Covariance can be used to determine if there is a linear relationship between two variables is positive or negative.
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Q6: The deterministic component of the simple linear
Q7: The correlation coefficient can only range between
Q8: Another name for an explanatory variable is
Q9: The sample correlation coefficient cannot equal zero.
Q10: A residual is the difference between the
Q12: If two linear regression models have the
Q13: The actual value y may differ from
Q14: The covariance can be used to determine
Q15: Simple linear regression includes more than one
Q16: The correlation coefficient is unit-free.
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