![]() ![]() ( i ) The B coefficients in a linear regression model are called regression ![]() Probability distributions of the relevant random variables. It is obtained from the unconditional, or marginal, Obtained from the conditional (probability) distribution of Y, given X. ( g ) The expected value of Y conditional upon a given value of X. ( f ) It is the sample counterpart of the stochastic error term. Random and small so that on average their influence on Y is zero. The individual influence of each of these variables is ( e ) It is a proxy for all omitted or neglected variables that affect theÄependent variable Y. ( d ) A model that is linear in the parameters, the B s. ![]() The stochastic error term, u, in the population as a whole. ( c ) It tells how the individual Y are related to the explanatory variables and ( b ) It is the sample counterpart of the PRF. Related to one or more explanatory variables. ( a ) It states how the population mean value of the dependent variable is 1 CHAPTER 2 BASIC IDEAS OF LINEAR REGRESSION: THE TWO-VARIABLE MODEL QUESTIONSÄ¢.1. ![]()
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