Econometrics Questions
Explore questions in the Econometrics category that you can ask Spark.E!
_________ refers to the use of sample data to calculate a range of values that is believed to include the value of the population parameter. a. Interval estimation b. Hypothesis testing c. Statistical inference d. Point estimation
The __________ is an indication of how frequently interval estimates based on samples of the same size taken from the same population using identical sampling techniques will contain the true value of the parameter we are estimating. a. residual b. tolerance factor c. confidence level d. accuracy level
In the graph of the simple linear regression equation, the parameter ß1 is the ___________ of the true regression line. a. slope b. x-intercept c. y-intercept d. end-point
When the mean value of the dependent variable is independent of variation in the independent variable, the slope of the regression line is a. positive. b. zero. c. negative. d. infinite.
Prediction of the mean value of the dependent variable y for values of the independent variables x1, x2, . . . , xq that are outside the experimental range is called a. dummy variable. b. overfitting. c. extrapolation. d. interaction.
The coefficient of determination a. takes values between -1 to +1. b. is equal to zero for a perfect fit. c. is equal to negative one for the poorest fit. d. is used to evaluate the goodness of fit.
The __________ is the range of values of the independent variables in the data used to estimate the regression model. a. confidence interval b. codomain c. experimental region d. validation set
The __________ is a measure of the error that results from using the estimated regression equation to predict the values of the dependent variable in the sample. a. sum of squares due to regression (SSR) b. error term c. sum of squares due to error (SSE) d. residual
The difference between the observed value of the dependent variable and the value predicted using the estimated regression equation is known as the a. constant term. b. error term. c. residual. d. model parameter.
What would be the value of the sum of squares due to regression (SSR) if the total sum of squares (SST) is 25.32 and the sum of squares due to error (SSE) is 6.89? a. 31.89 b. 19.32 c. 18.43 d. 15.32
The process of making a conjecture about the value of a population parameter, collecting sample data that can be used to assess this conjecture, measuring the strength of the evidence against the conjecture that is provided by the sample, and using these results to draw a conclusion about the conjecture is known as a. postulation. b. hypothesis testing. c. statistical inference. d. empirical research.
The population parameters that describe the y-intercept and slope of the line relating y and x, respectively, are a. B0 and B1. b. y and x. c. a and b. d. a and B.
__________ is a statistical procedure used to develop an equation showing how two variables are related. a. Regression analysis b. Data mining c. Time series analysis d. Factor analysis
A procedure for using sample data to find the estimated regression equation is a. point estimation. b. interval estimation. c. the least squares method. d. extrapolation.
A regression analysis involving one independent variable and one dependent variable is referred to as a a. factor analysis. b. time series analysis. c. simple linear regression. d. data mining.
A __________ is used to visualize sample data graphically and to draw preliminary conclusions about the possible relationship between the variables. a. contingency table b. scatter chart c. Gantt chart d. pie chart
. In a simple linear regression model, y = ß0 + ß1x + ε the parameter ß1 represents the a. intercept. b. slope of the true regression line. c. mean value of x. d. error term.
In the graph of the simple linear regression equation, the parameter ß0 represents the ___________ of the true regression line. a. slope b. x-intercept c. y-intercept d. end-point
In the simple linear regression model, the ____________ accounts for the variability in the dependent variable that cannot be explained by the linear relationship between the variables. a. constant term b. error term c. model parameter d. residual
In a linear regression model, the variable that is being predicted or explained is known as _____________. It is denoted by y and is often referred to as the response variable. a. dependent variable b. independent variable c. residual variable d. regression variable