What is the main assumption behind Karl Pearson’s coefficient of correlation?The relationship is non-linear.The data is ordinal.The relationship is linear.The data is nominal

The Pearson correlation coefficient measures the direction and strength of the linear relationship between __ quantitative variables.

How to interpret Pearson correlation

A study compared the number of years of education a person received and that person's average yearly salary.  It was determined that the relationship between these two quantities was linear and the correlation coefficient was 0.91.  Which conclusion can be made based on the findings of this study?*There was a weak relationship.There was a strong relationship.There was no relationship.There was an unpredictable relationship.None of the above

Q14: Statement I Non-linear correlation is also called curvy linear correlation.Statement II Numerical measure of correlation is called coefficient of determination.Alternatives

Which of the following are measured by correlation coefficienta.Linear association between two random variablesb.Direction of relationship between two variables (positive or negative association)c.A unit free value for the strength of linear relationship between two random variablesd.All of the above