I have two independent variables, 'laughter' and 'coffee', predicting a dependent variable 'wellbeing". I run two simple linear regression models, and the R-square values for each are below. Laughter predicting wellbeing R-sq = 30% Coffee predicting wellbeing R-sq = 25%. I then run a multiple regression model with both IVs, and the R-square from this model is 45%. This tells me: O a. Laughter and coffee are correlated O b. I cannot tell whether laughter and coffee are correlated from this information O c. Laughter and coffee are not correlated (statistically independent or orthogonal)