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.

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Part 1

The correlation between age and months employed is

0.34

Part 2

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

0.02.

(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

0.06.

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 aisa

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

B.

There is no relation between age and months employed.

C.

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

D.

There

is noisno

relation between number of months as a customer and combined checking and savings account balance. nothing

E.

There

is aisa

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

F.

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

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

moremore

money in the bank.

H.

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

moremore

money in the bank.

I.

There

is noisno

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.

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Question content area bottom

Part 1

The correlation between age and months employed is

0.340.34.

(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

negative 0.020.02.

(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

negative 0.060.06.

(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 aisa

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

B.

There is no relation between age and months employed.

C.

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

D.

There

is noisno

relation between number of months as a customer and combined checking and savings account balance. nothing

E.

There

is aisa

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

F.

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

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

moremore

money in the bank.

H.

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

moremore

money in the bank.

I.

There

is noisno

relation between age and combined checking and savings account balance.

Checking	Savings	Months Customer	Months Employed	Age
0	674	37	69	41
0	3105	16	19	30
332	214	25	22	25
638	347	13	14	3636
00	229229	1313	1616	2626
996996	837837	4949	8383	4949
963963	4 comma 7544,754	4040	4545	3131
00	806806	1919	33	2222
00	643643	1919	66	3131
565565	863863	1010	8181	3636
00	343343	1919	2222	3535
00	636636	2222	4141	2525
00	3 comma 3053,305	1111	1515	3434
207207	00	2828	116116	4747
00	00	3737	114114	3939
216216	00	1919	33	2626
00	337337	2525	107107	3535
00	148148	4343	22	3333
795795	16 comma 80416,804	4949	4040	2626
00	859859	3131	8989	3737
00	3 comma 2733,273	1313	44	3232
00	712712	1616	66	2828
00	408408	1616	1212	3434
00	14 comma 64314,643	1616	115115	4646
00	6 comma 6286,628	3737	6565	3838
759759	596596	1010	1818	2828
586586	00	1313	00	5151
382382	883883	3131	2020	2323
00	486486	1212	2222	3535
00	762762	1010	11	2121
798798	137137	2525	2525	3333
00	1 comma 2381,238	1313	00	2121
514514	405405	4949	1313	2121
00	169169	1919	66	4343
00	716716	1919	3333	3030
00	4 comma 4494,449	2525	8787	3030
00	104104	3737	2525	2323
00	500500	2828	77	2020
4 comma 8024,802	00	3737	1212	3535
135135	00	3737	77	3636
713713	784784	6161	1717	4141
1 comma 6131,613	00	2525	118118	5353
00	835835	1919	4242	2121
852852	3 comma 6133,613	6161	8383	5959
10 comma 41710,417	19 comma 81119,811	1313	2727	2727
00	775775	1919	88	4646
15 comma 32815,328	00	2525	99	3131
00	605605	3737	2020	2424
00	1 comma 2301,230	2525	00	3232
16 comma 63016,630	00	1111	4747	2626
00	00	1111	44	3030
00	750750	3737	22	2727
765765	10 comma 40610,406	1010	2424	6565
940940	715715	99	4040	4343
00	547547	1313	4040	3535
287287	12 comma 34812,348	77	22	2323
197197	00	3737	1717	2626
00	00	1313	9494	4848
1 comma 2571,257	00	1010	6565	4040
00	836836	2525	9999	3232
00	238238	1313	22	5252
983983	950950	1313	55	2424
00	626626	4343	00	6464
698698	4 comma 0334,033	1616	2020	2424
00	309309	4949	3737	2525
00	178178	1313	8989	3434
8 comma 2498,249	00	3131	7777	4848
00	707707	77	2626	5050
00	461461	1313	4848	3030
00	17 comma 12417,124	1313	9595	3434
00	713713	1313	2929	2525
5 comma 1335,133	698698	1919	1414	3636
00	208208	1313	2323	5151
651651	00	3737	102102	5050
19 comma 15519,155	131131	2525	2424	2525
00	1 comma 8511,851	1212	00	5656
219219	841841	4343	00	5454
560560	887887	2525	2020	3838
6 comma 5096,509	493493	3737	99	2525
00	109109	2525	2626	3434
13 comma 49613,496	650650	1919	2020	3333
842842	00	3737	99	3434
708708	683683	1313	3333	3131
9 comma 6219,621	308308	2525	4141	3737
644644	1 comma 5711,571	1919	11	2727
00	859859	1919	2323	3535
8 comma 0608,060	607607	1919	7171	2222
256256	954954	1010	1313	2323
00	10 comma 85310,853	2525	8181	5656
5 comma 5885,588	00	2222	1010	2828
887887	519519	77	4242	2727
00	00	3131	5353	3030
670670	4 comma 0144,014	3131	2121	2525
00	00	3737	4949	4646
498498	598598	3737	1414	2929
00	922922	1919	2929	3333
644644	00	1313	8888	3737
242242	00	1919	66	2828
00	129129	3131	88	3939
8 comma 9488,948	110110	3131	9090	6565
Checking	Savings	Months Customer	Months Employed