A statistically significant correlation coefficient indicates a linear relationship between the two variables.
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Q29: What is the general pattern seen in
Q30: The correlation coefficient measures the strength, but
Q31: The absolute value of the correlation coefficient
Q32: When two numerical variables are correlated, then
Q33: We use the standard error of the
Q35: When transforming variables in a correlation analysis,
Q36: Correlation coefficients for studies using different ranges
Q37: The value of the correlation coefficient increases
Q38: Spearman's rank correlation measures the strength and
Q39: Calculated values for the Spearman's rank correlation
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