Exam 11: Regression Analysis: Statistical Inference
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Exam 11: Regression Analysis: Statistical Inference69 Questions
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In regression analysis,the unexplained part of the total variation in the response variable Y is referred to as the sum of squares due to regression,SSR.
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A backward procedure is a type of equation building procedure that begins with all potential explanatory variables in the regression equation and deletes them two at a time until further deletion would reduce the percentage of variation explained to a value less than 0.50.
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In order to estimate with 90% confidence a particular value of Y for a given value of X in a simple linear regression problem,a random sample of 20 observations is taken.The appropriate t-value that would be used is 1.734.
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A point that "tilts" the regression line toward it,is referred to as a(n)_____ point.
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In multiple regression,if the F-ratio is large,the explained variation is large relative to the unexplained variation.
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The assumptions of regression are: 1)there is a population regression line,2)the dependent variable is normally distributed,3)the standard deviation of the response variable remains constant as the explanatory variables increase,and 4)the errors are probabilistically independent.
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The Durbin-Watson statistic can be used to test for autocorrelation.
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What is not one of the guidelines for including/excluding variables in a regression equation?
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The residuals are observations of the error variable
.Consequently,the minimized sum of squared deviations is called the sum of squared error,labeled SSE.

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