premise: what is the correlation between those two variables?
hypothesis: a specific type of correlation is regression coefficient, defined as 'when the regression line is linear (y = ax + b) the regression coefficient is the constant (a) that represents the rate of change of one variable (y) as a function of changes in the other (x); it is the slope of the regression line' .