Multiple Choice
If your data don't meet the assumptions for a Pearson r correlation coefficient, an appropriate action you can take is:
A) Run the analysis anyway.
B) Calculate z-scores for both variables.
C) Change your data to meet the assumptions.
D) Make a scatterplot but don't calculate the correlation coefficient.
E) Consider a Spearman's rho correlation coefficient instead.
Correct Answer:

Verified
Correct Answer:
Verified
Q2: If the correlations are identified as significant
Q3: The type of variable NOT allowed when
Q4: When you have a significance level <
Q5: True/: All researchers prefer positive correlations over
Q6: Which of the following is NOT an
Q8: Which of the following is/are TRUE? (select
Q9: In simple linear regression,<br>A)The correlation coefficient changes
Q10: Bivariate correlations refer to:<br>A)Only Pearson's r.<br>B)Any type
Q11: For Pearson correlation coefficients, you should report
Q12: The correlation of a variable with itself