Simple linear regression includes more than one explanatory variable.
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Q10: A residual is the difference between the
Q11: Covariance can be used to determine if
Q12: If two linear regression models have the
Q13: The actual value y may differ from
Q14: The covariance can be used to determine
Q16: The correlation coefficient is unit-free.
Q17: The covariance and correlation coefficient are measures
Q18: The correlation coefficient captures only a _
Q19: The method of least squares picks the
Q20: The value 0.75 of a sample correlation
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