Part 1

The correlation between age and months employed is

(Type an integer or a decimal rounded to two decimal places as needed.)

Part 2

The correlation between age and combined checking and savings account balance is

(Type an integer or a decimal rounded to two decimal places as needed.)

Part 3

The correlation between number of months as a customer and combined checking and savings account balance is

(Type an integer or a decimal rounded to two decimal places as needed.)

Part 4

Interpret your results. Recall that a correlation coefficient less than 0.1 in magnitude represents no correlation. Select all that apply.

A.There is a relation between number of months as a customer and combined checking and savings account balance. A customer who was with the bank for longer time has less money in the bank.Your answer is correct.

B.

There is a relation between age and months employed. Older customers tend to be employed longer.

C.

There is a relation between age and months employed. Older customers tend to be employed for shorter periods.

D.There is a relation between age and combined checking and savings account balance. Older customers tend to have less money in the bank.

E.There is a relation between age and combined checking and savings account balance. Older customers tend to have

more money in the bank.

F. There is no relation between age and months employed.

G.There is a relation between number of months as a customer and combined checking and savings account balance. A customer who was with the bank for longer time has

more money in the bank.

H.There is no relation between number of months as a customer and combined checking and savings account balance.

I.There is no relation between age and combined checking and savings account balance.

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. Click the icon to view the Credit Risk Data. 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. Click the icon to view the Credit Risk Data