Model a linear relationship by using technology to fit a least-squares line to the data, in the form of = + where is slope (gradient) and is -intercept. line, where is slope (gradient), is correlation coefficient, is (sample) standard deviation --- --- --- --- of values, is (sample) standard deviation of values, is -intercept, is mean of values and is mean of values.