Individual	Age	Systolic blood pressure
1	39	144
2	47	220
3	45	138
4	47	145
5	65	162
6	46	142
7	67	170
8	42	124
9	67	158
10	56	154
11	64	162
12	56	150
13	59	140
14	34	110
15	42	128
16	48	130
17	45	135
18	17	114
19	20	116
20	19	124
21	36	136
22	50	142
23	39	120
24	21	120
25	44	160
26	53	158
27	63	144
28	29	130
29	25	125
30	69	175

The systolic blood pressure dataset (in the third sheet of the spreadsheet linked above) contains the systolic blood pressure and age of 30 randomly selected patients in a medical facility.

What is the equation for the least square regression line where the independent or predictor variable is age and the dependent or response variable is systolic blood pressure?

Patient 10 is 56 years old and has a systolic blood pressure of 154 mm Hg. What is the residual mm Hg?

Is the actual value above, below, or on the line?

What is the interpretation of the residual? My options for this question are:

Difference in actual and predicted blood pressure for a given age

Difference in age between random people in the sample

The amount systolic blood pressure changes as age increases