Multiple Choice
Which of the following is not true of the linear regression equation?
A) It is the equation from which the correlation coefficient is calculated.
B) It defines the straight line that summarizes a relationship.
C) It describes two characteristics of the regression line: its slope and its Y-intercept.
D) It is the equation that produces the value of at each X.
Correct Answer:

Verified
Correct Answer:
Verified
Q16: If there is no relationship between two
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
Q22: Linear regression is important because<br>A)it is used
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
Q26: In regression,we sometimes talk about using X