Multiple Choice
Linear regression is important because
A) it is used to predict unknown Y scores based on X scores from a correlated variable.
B) it is used to predict unknown Y scores based on X scores,even if the X variable is not correlated with the Y variable.
C) it is a statistic that summarizes the relationship between the X and Y variables.
D) it indicates how close our predictions of Y values are to the actual Y values.
Correct Answer:

Verified
Correct Answer:
Verified
Q17: For the following data,what is the predicted
Q18: What is the Y-intercept of the following
Q19: If the correlation coefficient turns out to
Q20: The coefficient of determination is interpreted as
Q21: Which of the following is not true
Q23: The "error" in a single prediction is
Q24: We calculate the proportion of variance accounted
Q25: Homoscedasticity occurs when<br>A)there is a nonlinear relationship
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