Question

Which of the following best describes correlation? Correlation measures how much a change in the explanatory variable causes a change in the response variable. Correlation measures the strength of the linear relationship between two quantitative variables. Correlation measures the strength of the linear association between two categorical variables. Correlation measures the strength of the relationship between any two variables.

Answer 1

Answer:

Correlation measures the strength of the relationship between any two variables.

Explanation:

Correlation is a statistical measure that indicates the extent to which two or more variables fluctuate together, it studies the dependence or relationship between two or more variables. Correlation can be positive or negative. A positive correlation indicates the extent to which variables increase or decrease in parallel while a negative correlation indicates the extent to which one variable increases as the other decreases.