What is a dummy variable?
Multiple Choice
A variable not useful for forecasting, but necessary for completing the model.
A variable that can be used as a sort of proxy measure for influences that do not have a direct numerical measure.
A variable that predicts data patterns in the data set.
A variable that can be substituted for an independent variable.
a dummy variable is
A variable that can be substituted for an independent variable.
Answer (D)
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What is a dummy variable? Multiple Choice A variable not useful for forecasting, but necessary for...
Use the Eli Orchid data to extend your regression model in P2 with the dummy variable representing the weekend. 1. In column B calculate the values of the dummy variable representing weekend (w). The dummy variable w is set to 1 for Saturday or Sunday. Otherwise it is set to 0. DO NOT type the values in - you must build a formula.2. Run the regression multiple analysis. Generate the regression output in a yellow cell below. 3. Use the...
The correlation coefficient is: Multiple Choice the range of values over which the probability may be estimated based upon the regression equation results. the proportion of the total variance in the dependent variable explained by the independent variable. the measure of variabililty of the actual observations from the predicting (forecasting) equation line. the relative degree that changes in one variable can be used to estimate changes in another variable.
What is the most difficult problem for a forecaster using multiple causal regression? Multiple Choice Monitoring the economic time series. Identifying the dependent variable. Finding relevant independent variables with the right periodicity and covering the historic period matching the data. Determining the degrees of freedom necessary for the model and making certain they are in line with the demand planning models.
1.13 Consider a multiple regression model 1.15 Consider a multiple regression model: with a dummy variable: h(wage)-A, + β.educ + β white + β,NonWhite + u where wage and educ denote the annual income and the number of years of education, respectively. White indicates the dummy variable taking 1 if white and zero otherwisc. Non White indicates the dummy variable taking 1 if non-white (African, Hispanic, Asian, Pacific Islander, Native American, etc.) and zero otherwise. Which of the following is...
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...
Which statement is not correct? Multiple Choice R-squared is a measure of the degree of variability in the dependent variable about its sample mean explained by the regression line. The adjusted R-squared measure should be used in the case of more than one independent variable. The null hypothesis that R2 = 0 can be tested using the F-statistic. Forecasters should always select independent variables on the basis of R2. All of the options are correct.
Consider the following results of a multiple regression model of dollar price of unleaded gas (dependent variable) and a set of independent variables: price of crude oil, value of S&P500, price U.S. Dollars against Euros, personal disposal income (in million of dollars) : Coefficient t-statistics Intercept 0.5871 68.90 Crude Oil 0.0651 32.89 S&P 500 -0.0020 18.09 Price of $ -0.0415 14.20 PDI 0.0001 17.32 R-Square = 97% What will be forecasted price of unleaded gas if the value of independent...
multiple choice 1. Average weekly claims for unemployment insurance, money supply and the index of stock prices are all examples of A) coincident indicators. B) leading indicators. C) lagging indicators. D) None of the above 2. The use of a dummy variable in regression analysis indicates A) that insufficient data is available for the analysis. B) that a researcher does not really know what to include in the equation. C) the use of hypothetical data. D) that a categorical variable...
Can someone help me with these multiple choice questions. Please explain why the answers. 1. A transformation can be used to: (a) account for curvature (b) get a better prediction equation (c) stabilize the variances (d) any of the above 2. A partial regression plot that shows a straight-line relationship indicates: (a) that a linear term needs to be added to the model (b) that a quadratic term needs to be added to the model (c) the linear relationship that...
2. Multiple coefficient of determination Aa Aa E Macroeconomics is the study of the economy as a whole. A macroeconomic variable is one that measures a characteristic of the whole economy or one of its large-scale sectors. In forecasting the sales of a product, market researchers frequently use macroeconomic variables in addition to marketing mix variables (marketing mix variables include product, price, place [or distribution], and promotion) A market researcher is analyzing an existing multiple regression model that predicts sales...