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Exam 7: Linear Regression

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Question 31

Multiple Choice

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Fitting a model too closely to sample data, resulting in a model that does not accurately reflect the population is termed as

A) approximation.
B) hypothesizing.
C) overfitting.
D) postulating.

E) A) and C)
F) All of the above

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Question 32

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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.

A) residual
B) coefficient of determination
C) dummy variable
D) interaction variable

E) B) and D)
F) A) and B)

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Question 33

Multiple Choice

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A procedure for using sample data to find the estimated regression equation is

In a linear regression model, the variable (or variables) used for predicting or explaining values of the response variable are known as the __________. It(they) is(are) denoted by x.

The least squares regression line minimizes the sum of the

Given the partial Excel output from a multiple regression, formulate the regression model. ​ $\begin{array} { | l | c | c | } \hline & \text { Coefficients } & \text { Standard Error } \\\hline \text { Intercept } & 37,375.357 & 3,721.625 \\\hline x _ { 1 } & 55.655 & 9.370 \\\hline x _ { 2 } & - 5.750 & 3.575 \\\hline x _ { 3 } & 0.213 & 0.373 \\\hline\end{array}$ ​