Chapter 7 stats - General linear model conceptual framework that unifies many statistical methods(t-test correlation ANOVA regression Dependent

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General linear model : conceptual framework that unifies many statistical methods (t-test, correlation, ANOVA, regression). Dependent variables always continuous . Independent variable : Continuous: Regression Categorical: ANOVA Categorical and continuous: ANCOVA Outcome = model + error General Formula : Y= b 0 + b 1 X + e Simple Regression Formula : b 0 = slope/ gradient b 1 = intercept/ constant Obs : b is the change in the outcome resulting from one unit change in the predictor. Dummy variables : used to code categorical variables; before only binary variables for categories. Method of least squares : method used to find the line of best fit by choosing the line, of all possible lines, with the smallest sum of squared residuals. SS T (total variability): sum of squared differences between actual scores and the mean. SS R (residual variability): sum of squared differences between model scores and actual scores. SS
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This note was uploaded on 03/07/2012 for the course STATS 201 taught by Professor Liu during the Winter '12 term at Concordia University Irvine.

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Chapter 7 stats - General linear model conceptual framework that unifies many statistical methods(t-test correlation ANOVA regression Dependent

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