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ISYE 6414-REGRESSION ANALYSIS FINAL TEST WITH COMPLETE SOLUTIONS (LATEST UPDATE 2024)

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ISYE 6414-REGRESSION ANALYSIS FINAL TEST WITH COMPLETE SOLUTIONS (LATEST UPDATE 2024) regression - Answers Uses relationships (correlation) as basis for prediciton correlated - Answers In regression, X and Y are ___ independent - Answers X represents the ___ variable dependent - Answers Y represents the ___ variable determine how much the DV changes for a one unit change in IV, predict new values for the CV given the IV, determine how much of the variation of the DV is explained by the IV - Answers Objectives of regression regression constant - Answers In the regression equation, what does "a" represent? y intercept - Answers Graphically, what does the "a" in the regression equation represent? regression coefficient - Answers In the regression equation, what does "b" represent? slope - Answers Graphically, what does the "b" in the regression equation represent? predictor variable - Answers In the regression equation, what does "x" represent? predicted value - Answers In the regression equation, what does "y" represent? residual - Answers Error from the regression line line of best fit - Answers Line with least squared errors linear relationship between continuous variables is an approximation of the "true" line, for every X, there is a normal distribution of Y, homogenity of variance, independence of observations, no significant outliers - Answers Assumptions of Regression Analysis normalize scale of measurement, allow for comparisons across distributions on different scales - Answers Purpose of standardization in residual plots in SPSS measurement error, recording error, equipment malfunction, miscalculation, aberrant subject - Answers What are some peculiar circumstances that can lead to outliers? correlation coefficient - Answers What does "r" represent? correlation coefficient - Answers Rough indicator of goodness of fit for regression line? coefficient of determination - Answers What does "r^2" represent? coefficient of determination - Answers Proportion of variance in Y scores that can be explained by X scores standard error of the estimate - Answers What does SEE stand for? standard error of the estimate - Answers Variance on either side of the regression line, or the residuals SEE - Answers SD of the distribution of errors SEE - Answers Average error of prediction for the regression equation simple logistic - Answers Use ___ regression when you are trying to predict a categorical/dichotomous variable using 1 predictor Y=1/(1+e^-z) - Answers What is the "link/logistic" function/equation for simple logistic regression? maximum likelihood estimation - Answers In simple logistic regression, use ___ as opposed to least squares criterion for finding the equation with smallest residuals binary logistic regression - Answers Alternative term for simple logistic regression

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ISYE 6414-REGRESSION ANALYSIS
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ISYE 6414-REGRESSION ANALYSIS

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ISYE 6414-REGRESSION ANALYSIS FINAL TEST WITH COMPLETE SOLUTIONS (LATEST UPDATE 2024)

regression - Answers Uses relationships (correlation) as basis for prediciton

correlated - Answers In regression, X and Y are ___

independent - Answers X represents the ___ variable

dependent - Answers Y represents the ___ variable

determine how much the DV changes for a one unit change in IV, predict new values for the CV given
the IV, determine how much of the variation of the DV is explained by the IV - Answers Objectives of
regression

regression constant - Answers In the regression equation, what does "a" represent?

y intercept - Answers Graphically, what does the "a" in the regression equation represent?

regression coefficient - Answers In the regression equation, what does "b" represent?

slope - Answers Graphically, what does the "b" in the regression equation represent?

predictor variable - Answers In the regression equation, what does "x" represent?

predicted value - Answers In the regression equation, what does "y" represent?

residual - Answers Error from the regression line

line of best fit - Answers Line with least squared errors

linear relationship between continuous variables is an approximation of the "true" line, for every X,
there is a normal distribution of Y, homogenity of variance, independence of observations, no significant
outliers - Answers Assumptions of Regression Analysis

normalize scale of measurement, allow for comparisons across distributions on different scales -
Answers Purpose of standardization in residual plots in SPSS

measurement error, recording error, equipment malfunction, miscalculation, aberrant subject - Answers
What are some peculiar circumstances that can lead to outliers?

correlation coefficient - Answers What does "r" represent?

correlation coefficient - Answers Rough indicator of goodness of fit for regression line?

coefficient of determination - Answers What does "r^2" represent?

coefficient of determination - Answers Proportion of variance in Y scores that can be explained by X
scores

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