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Find the value of the linear correlation coefficient

Assignment Help Basic Statistics
Reference no: EM131060945

In this exercise, you will solve three questions, where you will be asked to calculate a linear correlation coefficient and determine whether there is a linear correlation between the two given variables.

Solve the following problems:

- Listed below are baseball team statistics, consisting of the proportions of wins and the result of this difference: Difference (number of runs scored) - (number of runs allowed).

The statistics are from a recent year, and the teams are NY-Yankees, Toronto, Boston, Cleveland, Texas, Houston, San Francisco, and Kansas City.

Difference

163

55

-5

88

51

16

-214

Wins

0.599

0.537

0.531

0.481

0.494

0.506

0.383

o Construct a scatter plot, find the value of the linear correlation coefficient r, and find the critical values of r from Table VI, Appendix A, p. A-14, of your textbook Elementary Statistics. Use α = 0.05.

o Is there sufficient evidence to conclude that there is a linear correlation between the proportion of wins and the above difference?

- A classic application of correlation involves the association between temperature and the number of times a cricket chirps in a minute. Listed below are the numbers of chirps in 1 minute and the corresponding temperatures in °F:

Chirps in 1  Min

882

1188

1104

864

1200

1032

960

900

Temperature(°F)

69.7

93.3

84.3

76.3

88.6

82.6

71.6

79.6

o Construct a scatter plot, find the value of the linear correlation coefficient r, and find the critical values of r from Table VI, Appendix A, p. A-14, of your textbook Elementary Statistics. Use α = 0.05.

o Is there a linear correlation between the number of chirps in 1 minute and the temperature?

- Given below is a control chart for the temperature of a freezer unit in a restaurant. The owner of the restaurant is deciding whether or not to buy a new unit. The two charts display the temperature for the past two weeks. Write a paragraph analyzing the control charts and argue whether the owner should buy a new unit or not.

1146_figure.png

Submission Requirements:

- Submit your work in a single Microsoft Word or Excel document.
- The answer to each question should be supported with an appropriate rationale or the correct steps.

Reference no: EM131060945

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