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1. The data in BUSI1013 Credit Card Balance.xlsx is collected forbuilding a regression model to predict credit card balance ofretail banking customers in a Canadian bank. Use this data toperform a simple regression analysis between Account balance andIncome (in thousands). (12 points)
   
2. Develop a scatter diagram using Account Balance as thedependent variable y and Income as the independent variable x.
3. Develop the estimated regression equation.
4. Use the estimated regression equation to predict the AccountBalance of a customer with Income of $58 thousands.
5. Use the critical-value approach to perform an F test for thesignificance of the linear relationship between account balance andIncome at the 0.05 level of significance.
6. What percentage of the variability of Account Balance can beexplained by its linear relationship with Income?
7. Use the p-value approach to perform a t test for thesignificance of the linear relationship between Account Balance andIncome at the 0.05 level of significance.

AccountBalance	Income	Years ofEducation	Size ofHousehold
8976	63	12	2
8308	37	14	2
10028	52	16	2
11256	64	15	4
9869	47	17	2
10194	74	15	2
8706	49	12	2
9557	58	14	2
10565	70	16	3
9434	69	11	3
9687	25	18	3
9490	57	15	1
8806	46	14	3
9561	48	16	2
11757	80	15	3
9406	66	14	2
11150	46	15	3
7671	28	12	2
8803	53	13	1
9571	52	15	2
9566	77	12	3
7885	32	14	3
9773	55	11	1
9121	52	15	2
9298	43	14	3
10285	65	15	2
7801	38	12	1
9323	52	14	2
8643	36	16	3
12466	85	15	2
9447	64	14	2
10727	86	15	2
9243	57	15	3
9311	68	12	2
11033	74	14	3
11721	82	16	2
8727	24	15	3
8438	37	15	3
8317	55	12	2
8617	50	14	1
9052	39	16	3
10889	73	15	3
7766	26	14	1
9189	47	15	2