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What are the measures of fit that are commonly used for multiple regressions? How can an adjusted R2 take on negative values?
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- Which of the following statements concerning the least squares regression of Y on X depicted in the graph below is true?In regards to multiple OLS regressions, what does it mean to have a loss of residuals or multicolinearity? What are the consequences?What are the various Standard errors in direct multiperiod regressions?
- What is a linear regression model? What is measured by the coefficients ofa linear regression model? What is the ordinary least squares estimator?In multiple regressions, the correlation coefficient of each independent variable can be measured in addition to the multiple correlation coefficient. How do the values of individual correlation coefficients compare to the value of the multiple correlation coefficient?What assumption is violated when multicollinearity is present in the regression model?
- Define coefficients of the Linear Regression Model?All the regression assumptions lie on the residuals, for both simple and multiple regression. True or False?TRUE OR FALSE? If a plot of the actual data points falls along a convex (bowed inward) curve, specifying the demand function as Q^d= a - b x P makes it impossible to estimate a regression.
- As the number of relevant independent variables in a regression increases, the R-squared of a regression Select one: a. exhibits greater heteroskedasticity b. increases c. decreases d. stays constantTrue or False For a linear regression model including only an intercept, the OLS estimator of that intercept is equal to the sample mean of the independent variable.Explain what is meant by an error term. What assumptions do we makeabout an error term when estimating an ordinary least squares regression?