POLI 3000 Lecture Notes - Lecture 14: Dependent And Independent Variables
22 May 2018
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I. Simple regression
a. Your dependent variable must be continuous
b. Your independent variables can also be whatever type of variable
c. Systematic explanation=explained. Stochastic compenent=unexplained.
II. Line of best fit minimizes the sum of the squared errors
a. Take each error, square it.
b. The true does not have the hats.
i. Alpha hat means that it is an estimate
III. Regression: dependent variable always goes first.
a. Coeeficient: 1 unit change in x variable decreases your dependent variable by (insert
number) on average
IV. Interpreting substantive impact: ask yourself what is the 1 unit?
a. 1 unit usually isn’t huge—but think about the cumulative effect. Min to max.
b. Think about arch type. (compare yourself to another group).
c. Could go back to standard deviations
i. Talk about what impact a SD has
ii. 1 SD below to mean to 1 SD above the mean (2 SD change)
iii.
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Document Summary
Simple regression: your dependent variable must be continuous, your independent variables can also be whatever type of variable. Line of best fit minimizes the sum of the squared errors: take each error, square it, the true does not have the hats, alpha hat means that it is an estimate. Regression: dependent variable always goes first: coeeficient: 1 unit change in x variable decreases your dependent variable by (insert number) on average. Interpreting substantive impact: ask yourself what is the 1 unit: 1 unit usually isn"t huge but think about the cumulative effect.
