Quiz 2 MBA 6325

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University of Houston, Downtown *

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6325

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Statistics

Date

Apr 3, 2024

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Uploaded by robertstla

Score for this quiz: 2 out of 2 Submitted Mar 15 at 3:57pm This attempt took 33 minutes. Question 1 0.2 / 0.2 pts In a simple linear regression model, y = ß 0 + ß 1 x + ε, β 1 represents the slope of the true regression line. intercept. mean value of x. error term. Question 2 0.2 / 0.2 pts 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. residual coefficient of determination dummy variable interaction variable Question 3 0.2 / 0.2 pts A procedure for using sample data to find the estimated regression equation is extrapolation the least squares method interval estimation point estimation Question 4

0.2 / 0.2 pts The scatter chart below displays the residuals verses the dependent variable, x. Which of the following conclusions can be drawn from the scatter chart given below? The model captures the relationship between the variables accurately. The residuals have an increasing variance as the dependent variable increases. The regression model follows the standard normal probability distribution. The residual distribution is consistently scattered about zero. Question 5 0.2 / 0.2 pts In a linear regression model, the variable that is being predicted or explained is known as independent variable. It is denoted by y and is often referred to as the response variable. True False Question 6 0.2 / 0.2 pts The difference between the observed value of the dependent variable and the value predicted using the estimated regression equation is known as the error term.

True False Question 7 0.2 / 0.2 pts A multiple regression model 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. True False Question 8 0.2 / 0.2 pts Fitting a model too closely to sample data, resulting in a model that does not accurately reflect the population is termed as overfitting. True False Question 9 0.2 / 0.2 pts The region is the range of values of the independent variables in the data used to estimate the regression model. If using the values outside of this region, the resulted prediction of the value of the dependent variable is called , which is risky. Answer 1: experimental Answer 2: extrapolation Question 10 0.2 / 0.2 pts The degree of correlation among independent variables in a regression model is called . Answer 1: multicollinearity

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