Answer:
a. r = 0.4. The correlation is positive. It's a weak association
b. r = -0.96 The correlation is negative. It is a very strong association
c. r = -0.02 The correlation is negative. It is a very weak association
d. r = 1. The correlation is positive. It's a perfect association
e. r = 0.86. The correlation is positive. It is a very strong association
Step-by-step explanation:
r is known as Pearson's linear correlation coefficient measures how strong the correlation between two variables is.
It is a positive correlation
A positive correlation means that when the variable x increases the variable y also increases.
It is a negative correlation
A positive correlation means that when the variable x increases the variable y decreases.
means there is no correlation between the variables.
a. r = 0.4. The correlation is positive. It's a weak association
b. r = -0.96 The correlation is negative. It is a very strong association
c. r = -0.02 The correlation is negative. It is a very weak association
d. r = 1. The correlation is positive. It's a perfect association
e. r = 0.86. The correlation is positive. It is a very strong association
