In the simple linear regression model, the randomness of e implies that y itself is subject to uncertainty.
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Q11: The expected change in the value of
Q12: The standard deviation of the statistic b,
Q13: The estimated standard deviation, se, has n
Q14: The population correlation ρ is always between
Q15: The standard deviation of a + bx*
Q17: The t-ratio for testing ρ = 0
Q18: There is more uncertainty in predicting a
Q19: A standardized residual plot with spread increasing
Q20: The point estimate a + bx* is
Q21: The scatter plot and residual plot shown
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