Question

What do you learn about Salesperson age after performing each of the correlation and regression analyses in the prior questions? Although a correlation by itself may not tell you the whole story, it's at least enough to establish causality A correlation analysis is usually enough to tell you what you need to know Even if a correlation is substantial, you don't know for sure until you measure it in a regression model with several other relevant variables If the correlation is negative, the relationship is not likely to be significant

Answer 1

Answer:

The Salesperson age after performing each of the correlation and regression analyses in the prior questions shows that:

Even if a correlation is substantial, you don't know for sure until you measure it in a regression model with several other relevant variables.

Step-by-step explanation:

The simple difference between correlation and causation is that a correlation measures the linear relationship between two variables, while causation is a statistical measure that establishes that one event or variable is the cause of another event or variable.  With correlation established, one needs to study the strength of the relationship through a regression analysis before concluding on how one variable affects another variable.