Using the accompanying Credit Risk Data, compute the correlation between age and months employed, age and combined checking and savings account balance, and the number of months as a customer and amount of money in the bank. Interpret your results.

Credit Risk Data Credit Risk Data Credit Risk Data Credit Risk Data \begin{tabular}{ccccc} 0 & 3,285 & 7 & 21 & 33 \\ 0 & 987 & 37 & 101 & 30 \\ 3,565 & 0 & 31 & 32 & 35 \\ 207 & 0 & 28 & 116 & 47 \\ 0 & 713 & 13 & 29 & 25 \\ 946 & 0 & 16 & 83 & 34 \\ 0 & 154 & 37 & 2 & 22 \\ 135 & 0 & 37 & 7 & 36 \\ Checking & Savings & Months & Months & Age \\ & & Customer & Employed & \end{tabular} Credit Risk Data Credit Risk Data Credit Risk Data Credit Risk Data \begin{tabular}{ccccc} 0 & 3,285 & 7 & 21 & 33 \\ 0 & 987 & 37 & 101 & 30 \\ 3,565 & 0 & 31 & 32 & 35 \\ 207 & 0 & 28 & 116 & 47 \\ 0 & 713 & 13 & 29 & 25 \\ 946 & 0 & 16 & 83 & 34 \\ 0 & 154 & 37 & 2 & 22 \\ 135 & 0 & 37 & 7 & 36 \\ Checking & Savings & Months & Months & Age \\ & & Customer & Employed & \end{tabular}