For the problem that demonstrates the Pearson's coefficient, you will use measures that represent characteristics of entire populations to describe disease in relation to some factor of interest, such as age; utilization of health services; or consumption of a particular food, medication, or other products. To describe a pattern of mortality from coronary heart disease (CHD) in year X, hypothetical death rates from ten states were correlated with per capita cigarette sales in dollar amount per month. Death rates were highest in states with the most cigarette sales, lowest in those with the least sales, and intermediate in the remainder. Observation contributed to the formulation of the hypothesis that cigarette smoking causes fatal CHD. The correlation coefficient, denoted by r, is the descriptive measure of association in correlational studies.

Table 1: Hypothetical Analysis of Cigarette Sales and Death Rates Caused by CHD

State	Cigarette sales	Death rate
1	102	5
2	149	6
3	165	6
4	159	5
5	112	3
6	78	2
7	112	5
8	174	7
9	101	4
10	191	6

First, refer to following videoon how to calculate Pearson's correlation coefficient using SPSS:

Next, using SPSS:

• Calculate Pearson's correlation coefficient.
• two-way scatter plot.