POLS 2400 Chapter Notes - Chapter 11: Regression Analysis, Linear Regression, Dependent And Independent Variables
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Here, the important notion of variance becomes clearer. Gives us the ability to quantify precisely the relative importance of any proposed factor or variable. Closely allied with correlation in that in are still interested in the strength of association between variables. But we are also concerned with specifying the nature of this relationship. Specify one variable as dependent and one independent. Equation to predict the value of the dependent variable-> y, on the basis of the independent variable -> x. Refers to the expected level of y when x=0. This is the base-line amount because it is what y should be before we take the level of x into account. B is the slope or regression coefficient for x. Represents the amount that y is expected to change for each increase of one unit of x. E is called the error term or disturbance term. Represents the sentence that cannot be account for by a or bx.