For a sample of data, we use the sample mean (x̄) as an estimate of the population mean (μ). The sample variance (s²) is calculated as:
$$s^2 = \fracS_xxn - 1$$
In simple linear regression (model: ( y = \beta_0 + \beta_1 x + \epsilon )), Sxx plays a starring role.











