Explain the significant findings and directional correlations (positive versus negative coefficients). Analyze how the analysis addresses either your alternative hypothesis or your null hypothesis.
If the test result comes out to be significant then we conclude that there is sufficient evidence to reject the null hypothesis on the basis of our findings.
A correlation between two variables is said to be positive, when one variable increases with increase in the other variable.
It is said to be negative, when one variable decreases with increase in the other.
Null hypothesis : there is no significant correlation
Alternative hypothesis: there is significant correlation
Test result : reject Ho if the p value is smaller than the level of significance.
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