Linear regression

Linear regression estimates a straight-line relationship between a response variable and one or more explanatory variables. In simple cost estimation, y=a+bx represents estimated total cost, with intercept a and slope b. Least squares chooses the fitted line that minimises the sum of squared vertical residuals. The estimates describe the observed relationship under the model assumptions; they do not prove causation or ensure accurate forecasts after capacity, prices or processes change.