What measure of correlation measures the strength and direction of the linear relationship of two variables and its association between interval and ordinal data?

11. What measure of correlation measures the strength and direction of the linear relationship of two variables and its association between interval and ordinal data? A. Spearman’s rho B. Pearson’s r C. Chi-Square D. T-test

Question

What measure of correlation measures the strength and direction of the linear relationship of two variables and its association between interval and ordinal data?

Gauthmathier8805

Grade 8 · 2021-07-11

YES! We solved the question!

Check the full answer on App Gauthmath

11. What measure of correlation measures the strength and direction of the linear relationship of two variables and its association between interval and ordinal data?
A. Spearman’s rho
B. Pearson’s r
C. Chi-Square
D. T-test

What measure of correlation measures the strength and direction of the linear relationship of two variables and its association between interval and ordinal data?

Gauthmathier9932

Grade 8 · 2021-07-11

Answer

Explanation

Thanks (152)

Does the answer help you? Rate for it!

Is a measure of the strength and the direction of a linear relationship between two variables?

Correlation Coefficient: The correlation coefficient (r) is a numerical measure that measures the strength and direction of a linear relationship between two quantitative variables.

How do you measure the strength of the linear relationship between the two variables?

A correlation coefficient measures the strength of that relationship. Calculating a Pearson correlation coefficient requires the assumption that the relationship between the two variables is linear. The relationship between two variables is generally considered strong when their r value is larger than 0.7.

What measure of correlation measures the strength?

The Pearson Correlation Coefficient measures the strength of the linear relationship between two variables.

What type of correlation is used for ordinal data?

The Pearson's correlation coefficient measures linear correlation between two continuous variables. Values obtained using an ordinal scale are NOT continuous but their corresponding ranks are. Hence, you can still use the Pearson's correlation coefficient on those ranks.