Home Chapter 12 Quiz

Quiz

This activity contains 15 questions.

Regression analysis is used primarily for the purpose of:

 explication. interpretation. prediction. description.

The simplest regression model is the __________ relationship.

 parabolic curvilinear exponential linear

When predicting values of Y from a regression model for a particular range of X, one can _______________ the relevant range of the X values.

 extrapolate beyond interpolate within interpolate beyond extrapolate within

The error sum of squares, SSE, represents:

 the difference between and not explained by the regression. the difference between and not explained by the regression. the sum of the squared differences between and . the sum of the squared differences between and .

The requirement that the variation around the line of regression be constant for all values of X is called:

 normality. independence of errors. homoscedasticity. residuals.

In an attempt to promote their new fitness equipment, Vinny’s Health Club surveyed people to determine how many pounds overweight as a function of the number of hours they worked out each month. The data collected is below.

Find the slope, b1 of the regression line.

 -1.374 1.5801 -1.6511 33.167

In an attempt to promote their new fitness equipment, Vinny’s Health Club surveyed people to determine how many pounds overweight as a function of the number of hours they worked out each month. The data collected is below.

Find the regression sum of squares.

 3.40 208.26 1.58 1,812.94

The standard deviation of the line of regression is called the:

 error sum of squares. regression sum of squares. standard error of the estimate. regression coefficient.

Which of the following plots can be used to evaluate whether the normality assumption has been seriously violated?

 Histogram Stem-and-leaf Box-and-whisker All of the choices are correct.

__________ analysis is used to evaluate the aptness of the regression model that has been fitted to the data.

 Residual Correlation Exploratory data Regression

Which of the following is not a valid number for the coefficient of correlation?

 1.23 0 -0.64 0.75

The F statistic is equal to the regression mean square, MSR, divided by:

 the total sum of mean squares, SMST. the total mean square, MST. the regression sum of squares, SSR. the error mean square, MSE.

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