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:
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Q1: For Pearson correlation coefficients, you should report
Q3: Which of the following is NOT true?
A)Correlation
Q4: When you have a significance level <
Q5: A correlation coefficient of -0.8 would be
Q6: Which of the following is NOT an
Q7: True/: All researchers prefer positive correlations over
Q8: In simple linear regression,
A)The correlation coefficient changes
Q9: The type of variable NOT allowed when
Q10: Which of the following is NOT another
Q11: The correlation of a variable with itself
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