BA 375 Homework Questions
In the moving averages method, the order k determines the __________. Homework #4
Number of time series values under consideration
The __________ is a measure of the goodness of fit of the estimated regression equation. It can be interpreted as the proportion of the variability in the dependent variable y that is explained by the estimated regression equation Homework #2
coefficient of determination
The ___________ is a measure of the goodness of fit of the estimated regression equation. It can be interpreted as the proportion of the variability in the dependent variable y that is explained by the estimated regression equation. Homework #3
coefficient of determination
Assessing the regression model on data other than the sample data that was used to generate the model is known as __________ Homework #2
cross-validation
The __________ is the range of values of the independent variables in the data used to estimate the regression model. Homework #3
experimental region
In the graph of the simple linear regression equation, the parameter ß1 is the ___________ of the true regression line. Homework #3
slope
The least squares regression line minimizes the sum of the __________ Homework #2
squared differences between actual and predicted y values
The least squares regression line minimizes the sum of the__________. Homework #4
squared differences between actual and predicted y values
The least squares regression line minimizes the sum of the __________ Homework #3
squared differences between actual and predicted y values.
In a simple linear regression model, y = ß0 + ß1x + ε the parameter ß1 represents the __________ Homework #3
slope of the true regression line
Demand for a product and the forecasting department's forecast (naive model) for a product are shown below. Compute the mean absolute error. Homework #4
2
Suppose for a particular week, the forecasted sales were $4,000. The actual sales were $3,000. What is the value of the mean absolute percentage error? Homework #4
33.3%
Which is not true regarding trend patterns? Homework #4
Can result when business conditions shift to a new level at some point in time.
The __________ is a measure of the goodness of fit of the estimated regression equation. It can be interpreted as the proportion of the variability in the dependent variable y that is explained by the estimated regression equation. Homework #4
Coefficient of Determination
__________ is the amount by which the predicted value differs from the observed value of the time series variable. Homework #4
Forecast Error
Regression analysis involving one dependent variable and more than one independent variable is known as __________. Homework #4
Multiple Regression
__________ is a statistical procedure used to develop an equation showing how two variables are related. Homework #4
Regression Analysis
For casual modeling, __________ are used to detect linear or nonlinear relationships between the independent and dependent variables. Homework #4
Scatter Charts
With reference to exponential forecasting models, a parameter that provides the weight given to the most recent time series value in the calculation of the forecast value is know as the __________. Homework #4
Smoothing Constant
Trend refers to __________. Homework #4
The long-run shift or movement in the time series observable over several periods of time
__________ refers to the scenario in which the relationship between the dependent variable and one independent variable is different at different values of a second independent variable. Homework #2
interaction
The Coefficient of Determination: __________. Homework #4
is used to evaluate the goodness of fit
The coefficient of determination __________ Homework #2
is used to evaluate the goodness of fit
The coefficient of determination __________ Homework #3
is used to evaluate the goodness of fit.
__________ refers to the degree of correlation among independent variables in a regression model. Homework #3
multicollinearity
Regression analysis involving one dependent variable and more than one independent variable is known as __________ Homework #2
multiple regression
Regression analysis involving one dependent variable and more than one independent variable is known as __________. Homework #3
multiple regression
Which of the following regression models is used to model a nonlinear relationship between the independent and dependent variables by including the independent variable and the square of the independent variable in the model? Homework #2
quadratic regression model
__________ is a statistical procedure used to develop an equation showing how two variables are related. Homework #3
regression analysis
The process of making estimates and drawing conclusions about one or more characteristics of a population through analysis of sample data drawn from the population is known as __________ Homework #3
statistical inference
__________ is the data set used to build the candidate models. Homework #2
training set
__________ refers to the data set used to compare model forecasts and ultimately pick a model for predicting values of the dependent variable. Homework #2
validation set
