linear regression analysis
Also found in: Acronyms.
linear regression analysisa statistical method that aims to define the relationship between two variables, producing a value b, the regression coefficient. There are several assumptions that have to be made in carrying out the analysis, particularly
- that there is an independent variable x, e.g. time, which can be measured exactly, and also a dependent variable y, e.g. metabolic rate,
- that for every value of x there is a ‘true’ value of y . Linear regression analysis enables the fitting of a straight line to a scatter graph, using the equation y = a + bx, the a value being the point at which the regression line crosses the y -axis (the intercept).