Homework Answers
1.b) dummy variable
2.b) First order model with two predictor variables
3.d) F - test
4.d) 1/Y as the dependent variable instead of Y
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1. (4pt) A variable that takes on the values of 0 or 1 and is used...
1. A variable that takes on the values of 0 or 1 and is used to...
1. A variable that takes on the values of 0 or 1 and is used to incorporate the effect of categorical variables in a regression model is called a. an interaction b. a constant variable c. a dummy variable d. None of these alternatives is correct. 2. adjusted multiple coefficient of determination is adjusted for a. the number of dependent variables b. the number of independent variables c. the number of equations d. detrimental situations 3. A variable such as...
4. +pt) When dealing with the problem of non-constant variance, the log transformation means using a....
4. +pt) When dealing with the problem of non-constant variance, the log transformation means using a. 1/X as the independent variable instead of X b. LogX as the independent variable instead of X c. Logy as the dependent variable instead of Y d. 1/Y as the dependent variable instead of Y 5. (4pt) A variable such as Z, whose value is Z = X1X2 is added to a general linear model in order to account for potential effects of two...
1. If a categorical variable has ? levels, indicator variables are required with each indicator variable...
1. If a categorical variable has ? levels, indicator variables are required with each indicator variable being coded as 0 or 1. a. ? b. ? − 1 c. ? − 2 d. None of these alternatives is correct. 2. The standardized residual plot can be used to a. check normality assumption of the error term ?. b. detect outliers. c. detect influential observations. d. Both a and b. 3. The following regression model ? = ?0 + ?1?1 +...
7. (4pt) A term used to describe the case when the independent variables in a multiple...
7. (4pt) A term used to describe the case when the independent variables in a multiple regression model are correlated is a. regression b. correlation c. multicollinearity d. None of the above answers is correct 8. (4pt) A variable that cannot be measured in numerical terms is called a. a nonmeasurable random variable b. a constant variable c. a dependent variable d. a categorical variable 9. The following regression model has been proposed to predict sales at a computer store....
4. (1pt) When dealing with the problem of non-constant variance, the log transformation means using a....
4. (1pt) When dealing with the problem of non-constant variance, the log transformation means using a. 1/X as the independent variable instead of X b. LogX as the independent variable instead of X c. LogY as the dependent variable instead of Y d. 1Y as the dependent variable instead of Y
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1...
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1 = b2 = 0 Но: B1 B2-0 с. We have a dataset Company with three variables: Sales, employees and stores. To build a multiple linear regression model using Sales as dependent variable, number of stores and number of employees as independent variables, which of the...
With two independent variables, the least-squares multiple regression equation would be Select one: a. Y =...
With two independent variables, the least-squares multiple regression equation would be Select one: a. Y = a + bX² b. Y = a + b + X1 + X² c. Y = b1X1 + b2X2 d. Y = a + b1X1 + b2X2
Dummy Variable Regression: Choose any metric variable as the dependent variable (you can use the ...
Dummy Variable Regression: Choose any metric variable as the
dependent variable (you can use the same one that you used in Part
A) and choose gender as an independent variable. Also choose one
more metric variable as an additional independent variable. Once
again, however, you must sort through the metric independent
variables until you find one that, along with gender, produces a
significant F-calc. Use alpha = .05 here as well. You
only need to report the model that produced...
1) In a multiple regression output, if individual test of slope coefficient for each variable shows...
1) In a multiple regression output, if individual test of slope coefficient for each variable shows that all the independent variables are not significant individually, but test on overall validity of model supports the alternative hypothesis at a specified level of significance, this is most likely due to: A. autocorrelation B. multicollinearity C. the presence of dummy variables D. the absence of dummy variables 2.
Multiple regression procedures may be used when two or more interval-level measures serve as predictors of...
Multiple regression procedures may be used when two or more interval-level measures serve as predictors of some normally distributed interval-level dependent variable. In this model, the regression coefficient for any independent or predictor variable (X1) represents the change in the dependent or outcome variable (Y) associated with one unit change in X1, while controlling for or maintaining other predictors (X2, X3, etc.) at constant. If you required to use this model in the analysis of the data of a research...
1. A variable that takes on the values of 0 or 1 and is used to incorporate the effect of categorical variables in a regression model is called a. an interaction b. a constant variable c. a dummy variable d. None of these alternatives is correct. 2. adjusted multiple coefficient of determination is adjusted for a. the number of dependent variables b. the number of independent variables c. the number of equations d. detrimental situations 3. A variable such as...
4. +pt) When dealing with the problem of non-constant variance, the log transformation means using a. 1/X as the independent variable instead of X b. LogX as the independent variable instead of X c. Logy as the dependent variable instead of Y d. 1/Y as the dependent variable instead of Y 5. (4pt) A variable such as Z, whose value is Z = X1X2 is added to a general linear model in order to account for potential effects of two...
7. (4pt) A term used to describe the case when the independent variables in a multiple regression model are correlated is a. regression b. correlation c. multicollinearity d. None of the above answers is correct 8. (4pt) A variable that cannot be measured in numerical terms is called a. a nonmeasurable random variable b. a constant variable c. a dependent variable d. a categorical variable 9. The following regression model has been proposed to predict sales at a computer store....
1. In order to test whether the multiple linear regression model y bo +b,x1 + b2X2 is better than the average model (lazy model), which of the following null hypotheses is correct: a. Ho' b1 = b2 = 0 Но: B1 B2-0 с. We have a dataset Company with three variables: Sales, employees and stores. To build a multiple linear regression model using Sales as dependent variable, number of stores and number of employees as independent variables, which of the...
Dummy Variable Regression: Choose any metric variable as the
dependent variable (you can use the same one that you used in Part
A) and choose gender as an independent variable. Also choose one
more metric variable as an additional independent variable. Once
again, however, you must sort through the metric independent
variables until you find one that, along with gender, produces a
significant F-calc. Use alpha = .05 here as well. You
only need to report the model that produced...
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