Answer:
Negatively
Explanation:
Correlation
This is simply known as the strong rate at (measure strongly) which two or more variables are related to each other.
In correlation, we have:
1. Alternative HypothesisThis hypothesis shoes that there will be a significant correlation between the variables measured/under study.
2. Null Hypothesis
This type of hypothesis shows that there will be no significant correlation between among the variables/measured.
Correlation is in 3 folds(types)
1. Positive correlation
2. Negative Correlation
3. No correlation.
Negative Correlation:
This is simply known as when high values of one variable measured are in line with low values of the other variable in the study. Simply say it as one variable increases in the experiment the other decreases also.
