1 of 16

How can we investigate the relationship between air pollution exposure and chronic lower respiratory diseases?

2 of 16

Experience the Problem

Chronic Lower Respiratory Disease in New York

2016-2020

​

​

​

​

3 of 16

Investigate the Problem

4 of 16

Correlation coefficient: a quantitative measure of the strength of a relationship between two variables.

Correlation Coefficient

5 of 16

Correlation Coefficient: Perfect Negative Correlation

Source: Tableau

6 of 16

How can we investigate the relationship between air pollution exposure and chronic lower respiratory diseases?

7 of 16

Experience the Problem

Chronic Lower Respiratory Disease in New York

2016-2020

​

​

​

​

8 of 16

Investigate the Problem

9 of 16

Correlation coefficient: a quantitative measure of the strength of a relationship between two variables.

Correlation Coefficient

10 of 16

Correlation Coefficient: Perfect Negative Correlation

Source: Tableau

11 of 16

Correlation Coefficient: Perfect Positive Correlation

Source: Tableau

12 of 16

Correlation Coefficient: No Relationship

Where would you place the Hangzhou and Warsaw graphs? Between r = -1 and r=0, Between r= 0 and r=1?

Source: Tableau

13 of 16

Correlation Coefficient

Source: Tableau

14 of 16

Correlation Coefficient: Perfect Positive Correlation

Source: Tableau

15 of 16

Correlation Coefficient: No Relationship

Where would you place the Hangzhou and Warsaw graphs? Between r = -1 and r=0, Between r= 0 and r=1?

Source: Tableau

16 of 16

Correlation Coefficient

Source: Tableau