A measurement used to assess the quality of a model is the sum of squares of the residuals (SSR). Recall that a residual is the difference between an observed y-value and the value predicted by the model. Models with smaller SSR provide a better fit. Refer to the following dataset, which represents the annual revenue (in million dollars) of a company at five-year intervals: Using a linear regression model, Compute the sum of squares of the residuals (SSR).
