STAT 1100Q Lecture Notes - Lecture 4: Dependent And Independent Variables, Covariate, Regression Analysis

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13 May 2021
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STAT 1100Q Full Course Notes
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STAT 1100Q Full Course Notes
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1 by interpreting the slope and intercept of the line in context to quantify the linear effect. Std dev of variabe variable a intercept mean of yvariable b mean of variable. X high school y freshmen independent variable dependent variable correlation coefficient. So freshinen 0. 7 t 0. 826 highschool gpa at bx. Gpa d type of college stream chosen byfreshmen having a job etc e freshmeth apa. B if value less than a or greater than b then it is extrapolation is used to predict response for the regression model. Can only predict for values within the range of the exploratory variable that we have info for. 6 the average distance of the points about the regression oft by when we use line quantifies how much we the regression line for prediction are. 9 fitted value one covariate posture dependent variable postscore quantitative variables prescore postscore dependent variable. Prescore independent variable student c d e f s.

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