## Quickly skim the questions or assignment below and the assignment rubric to help you focus.

### computer science

##### Description

Start by reading and following these instructions:

1. Quickly skim the questions or assignment below and the assignment rubric to help you focus.

2. Read the required chapter(s) of the textbook and any additional recommended resources. Some answers may require you to do additional research on the Internet or in other reference sources. Choose your sources carefully.

3. Consider the discussion and the any insights you gained from it.

4. Create your Assignment submission and be sure to cite your sources, use APA style as required, check your spelling.

Assignment:

1.  Select one of the following:

a.   A fitness center weighed 53 male athletes and then measured the weight that they were able to lift. The correlation was found to be r  = 0.75. Can you interpret this correlation without knowing whether the weights were in pounds or kilograms or a mixture of the two? After calculating the correlation, the analyst at the fitness center discovered that the scale used to weigh the athletes was off by 5 pounds; each athlete’s weight was measured as 5 pounds more than it actually was. How does this error affect the reported correlation?

Or

b.   Review your thesis and identify the response and explanatory variables. Calculate the correlation value ‘r’.

2.  Housing and Stocks - For the data for this assignment, refer to website mentioned above in Additional resources for this problem (Chapter 6 - 06_housing_stock). Problem 39 on Page 130.

Each month, the Department of Commerce releases its estimate of construction activity. A key measure is the percentage change in the number of new homes under construction. Are changes in home construction associated with changes in the stock market? These data show the percentage change in the number of new, privately owned housing units started each month, as reported by the Department of Commerce. The data also include the percentage change in the S&P 500 index of the stock market.

(a)  Before looking at these data, do you expect these variables to be associated? If so, what do you anticipate the correlation to be?

(b)  Draw the scatterplot of the percentage change in the S&P 500 index on the percentage change in the number of new housing units started. Describe the association.

(c)  Find the correlation between the two variables in the scatterplot. What does the size of the correlation suggest about the strength of the association between these variables?