1. You have probably heard of the old saying "correlation isn't causation."What does this mean?Provide an example where two variables are highly correlated but there is unlikely to be any causal relationship.Finally, How does regression analysis try to address the issue that correlation isn't causation?

2.What does statistical significance of an independent variable mean?Why does it matter?

3.Why is it true that the more independent variables you include in your regression the more rich and varied your dataset must be?

4.Propose a regression equation you would like to estimate.Write out the equation and define the dependent and independent variables, and indicate how you would measure them.What type of data would you use and, as a result, what is an observation in your dataset?Finally, why would you want to estimate this regression - what would be the purpose/insight?