Correlation

The correlation is commonly used and a useful statistic used to describe the degree of the relationships between two or more variables. Pearson's correlation reflects the degree of linear relationship between X variables which are independent and a Y variable which is independent and it ranges from positive 1 to negative 1 (+1 to -1). Below are statistics I have managed to gather which shows the relationship between the variables of wfood,  totexp, income, age, nk.

The Null Hypothesis - H0: Correlation has risen by chance i.e. r = 0

The Alternative Hypothesis - H1: Correlation has not risen by chance i.e. r ≠ 0

*Exception: Reject H0 when P-value ≤ α = 0.05

Correlations: wfood, totexp, income, age, nk

                wfood       totexp  income     age

 totexp    -0.479       0.000

income   -0.235        0.449   

               0.000        0.000

age         0.021        0.189     0.218         

               0.405        0.000     0.000

nk           0.102        0.071     0.025   0.008         

               0.000        0.005     0.322   0.753

Cell Contents: Pearson correlation      

                       P-Value