1. Calculate the simple linear regression to determine if the amount of sleep (y) can be predicted by time spent on homework (x). Graph the relationship and determine, numerically, if there are any outliers. Interpret all results in a paragraph citing the appropriate statistics.

Table [edit]

ID	School Enrolled	Months Enrolled	Birthday Month	Distance to Work (whole miles)	Height (whole inches)	Foot Size (whole inches)	Hand Size (whole inches)	Sleep (minutes)	Homework (minutes)
1	Arts and Sciences	12	January	0	60	8	5	360	30
2	Applied Science and Technology	6	February	0	62	7	6	400	45
3	Business and Management	8	April	5	66	10	7	420	60
4	Nursing	10	June	10	68	12	8	440	15
5	Public Service	48	July	15	68	14	8	540	75
6	Arts and Sciences	48	June	30	70	12	9	480	120
7	Applied Science and Technology	36	October	32	72	11	8	320	80
8	Applied Science and Technology	32	November	36	75	14	7	440	60
9	Applied Science and Technology	49	September	55	70	11	8	360	70
10	Business and Management	19	July	10	70	10	8	420	120
11	Applied Science and Technology	24	July	1	62	9	6	480	120
12	Applied Science and Technology	2	October	19	63	8	6	420	120
13	Applied Science and Technology	4	October	25	72	11	8	480	180
14	Applied Science and Technology	10	October	3	71	12	8	360	180
15	Applied Science and Technology	15	October	14	66	9	10	480	60
16	Applied Science and Technology	2	September	40	64	9	7	300	120
17	Applied Science and Technology	12	August	30	67	9	7	300	90
18	Applied Science and Technology	24	April	10	78	12	8	420	60
19	Applied Science and Technology	9	November	30	71	11	8	420	180