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Score:
110 out of 200 points (55%)
The questions on this assignment were scrambled. The question order below has been standardized to assist you in discussions of the results with your instructor. 1. award: 10 out of
10 points

Pearson's correlation coefficient (r) requires that both variables be interval or ratio data.

| True | | False |

2. award: 10 out of
10 points

In a simple regression, if the coefficient for X is positive and significantly different from zero, then an increase in X is associated with an increase in the mean (i.e., the expected value) of Y.

| True | | False |

3. award: 10 out of
10 points

The Ordinary Least Squares regression line always passes through the point .

| True | | False |

4. award: 10 out of
10 points

A prediction interval is so wide that X cannot be a significant predictor of Y.

| True | | False |

5. award: 0 out of
10 points

Using the ordinary least squares method ensures that the residuals will be normally distributed.

| True | | False |

6. award: 10 out of
10 points

A researcher's results are shown below using Femlab (labor force participation rate among females) to try to predict Cancer (death rate per 100,000 population due to cancer) in the 50 U.S. states.

Which statement is valid regarding the relationship between Femlab and Cancer?

| A rise in female labor participation rate will cause the cancer rate to decrease within a state. | | This model explains about 10 percent of the variation in state cancer rates. | | At the .05 level of significance, there isn't enough evidence to say the two variables are related. | | If your sister starts working, the cancer rate in your state will decline. |

7.