ECO220Y5 Lecture Notes - Lecture 10: Ordinary Least Squares, Homoscedasticity, Random Variable

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In this part of the course we are going to study a technique for analysing the linear relationship between two variables y and x. We have n pairs of observations (yi xi), i = 1, 2, ,n on the relationship which, because it is not exact, we shall write as: y i x i i i. In this relationship , and i i = 1,, n are fundamentally unobservable and we would like to estimate and . The measure we use is the sum of squared vertical distances which we shall call the error sum of squares (erss) so that * and * are solutions to the problem: min. The multivariate calculus is employed to solve this problem by setting the partial derivatives of erss with respect to * and * to zero (called the first order conditions) and solving thus:

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