Decks in this Class (15):

A Formulate A Multiple Regression Equati
a formulate a multiple regression equation to describe the relation between a dependent variable and several independent variables, and determine the statistical significance of each independent variable;
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B Interpret Estimated Regression Coeffic
b interpret estimated regression coefficients and their pvalues;
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C Formulate A Null And An Alternative Hy
c formulate a null and an alternative hypothesis about the population value of a regression coefficient, calculate the value of the test statistic, and determine whether to reject the null hypothesis at a given level of significance;
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D Interpret The Results Of Hypothesis Te
d interpret the results of hypothesis tests of regression coefficients;
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E Calculate And Interpret 1 A Confidence
e calculate and interpret 1) a confidence interval for the population value of a regression coefficient and 2) a predicted value for the dependent variable, given an estimated regression model and assumed values for the independent variables;
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F Explain The Assumptions Of A Multiple
f explain the assumptions of a multiple regression model;
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G Calculate And Interpret The F Statisti
g calculate and interpret the Fstatistic, and describe how it is used in regression analysis;
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H Distinguish Between And Interpret The
h distinguish between and interpret the R2 and adjusted R2 in multiple regression;
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I Evaluate How Well A Regression Model E
i evaluate how well a regression model explains the dependent variable by analyzing the output of the regression equation and an ANOVA table;
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J Formulate A Multiple Regression Equati
j formulate a multiple regression equation by using dummy variables to represent qualitative factors, and interpret the coefficients and regression results;
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K Explain The Types Of Heteroskedasticit
k explain the types of heteroskedasticity and how heteroskedasticity and serial correlation affect statistical inference;
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L Describe Multicollinearity And Explain
l describe multicollinearity, and explain its causes and effects in regression analysis;
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M Describe How Model Misspecification Af
m describe how model misspecification affects the results of a regression analysis, and describe how to avoid common forms of misspecification;
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N Describe Models With Qualitative Depen
n describe models with qualitative dependent variables;
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O Evaluate And Interpret A Multiple Regr
o evaluate and interpret a multiple regression model and its results.
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