Multiple Choice
The assumption of bivariate normality refers to
A) the variances of the Y scores being equal at every value of X in the population.
B) the sample being independently and randomly selected from the population.
C) the population distributions of X and Y each being normal in shape.
D) the requirement that the distribution of Y scores be normal in the population at every value of X.
Correct Answer:

Verified
Correct Answer:
Verified
Q1: In a regression equation,the variable from which
Q2: Another useful index of the strength of
Q3: Imagine you are interested in researching the
Q4: The traditional null hypothesis for the
Q6: When using Pearson correlation for inference to
Q7: The equation for the general linear model
Q8: r<sup>2</sup> represent the proportion of variability that
Q9: When the population correlation coefficient is greater
Q10: The estimated standard error of estimate estimates
Q11: What does the estimated standard error of