Using a set of data collected over a period of one year, a researcher assessed the linear relationship between urban growth and air quality violations in a community. The assessment showed a Pearson correlation coefficient(r) of 0.88 between urban growth and air quality violation. The significance was tested at 0.01 and showed a p value of 0.002. Explain this relationship in terms of strength, direction, and significance
Here we have to test that
H0: that is There is no linear relationship between urban growth and air quality violation.
H1 : that is There is linear relationship between urban growth and air quality violation.
Correlation coefficient = r = 0.88
P value = 0.002
Level of significance = = 0.01
Here p value <
So we reject H0.
Conclusion: We can say that r is significant that is there is linear relationship between urban growth and air quality violation.
r is significant.
Since r = 0.88 > 0.5 so we can say that there is strong positive relationship between urban growth and air quality violation.
r is significant.
Strength : Strong
Direction : Positive
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