activity(midterm lesson 5) Question 1 of 1 use the variables severity and anxiety as independent variables. Observati Severity Surg-Med Anxiety Satisfaction compute for the confidence interval on the slope of the (regression coefficient) either for the first independent variable (1) second independent variable (2) for the data: patient's satisfaction as well as the confidence interval on the mean response using 95% confidence 1)or the 1 50 2.1 68 2 24 1 2.8 77 (аде) — 20 3 46 1 3.3 96 4 48 1 4.5 80 5 58 2 43 6 60 5.1 44 7 65 5.5 26 & x2(severity) = 75 42 3.2 88 9 42 3.1 75 interval when 10 50 1 2.4 57 11 38 29 2.2 56 12 30 2.1 88 31 and also compute the prediction of the new variable using the same values of l1 & X2 13 1.9 88 14 34 3.1 102 15 30 3 88 16 48 1 4.2 70 17 61 1 4.6 52 18 71 1 5.3 43 19 62 7.2 46 20 38 7.8 56 21 41 7 59 22 66 1 6.2 26 23 31 1 4.1 52 24 42 3.5 83 25 40 2.1 75

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activity(midterm lesson 5)
Question 1 of 1
use the variables severity and anxiety as independent variables.
Observati Severity Surg-Med Anxiety Satisfaction
compute for the confidence interval on the slope of the (regression coefficient) either for the first independent variable ( l) or the
1
50
2.1
68
second independent variable (2) for the data: patient's satisfaction as well as the confidence interval on the mean response using 95% confidence
2
24
1
2.8
77
X1(age) = 20
3
46
1
3.3
96
4
48
1
4.5
80
5
58
2
43
6
60
5.1
44
7
65
1
5.5
26
& x2(severity)
= 75
8
42
1.
3.2
88
9
42
3.1
75
interval when
10
50
1.
2.4
57
11
38
1
2.2
56
&
12
30
2.1
88
and also compute the prediction of the new variable using the same values of l1 l2
13
31
1.9
88
14
34
3.1
102
15
30
3
88
16
48
1.
4.2
70
17
61
1
4.6
52
18
71
1
5.3
43
19
62
7.2
46
20
38
7.8
56
21
41
1
7
59
22
66
1
6.2
26
23
31
1
4.1
52
24
42
3.5
83
25
40
1
2.1
75
Transcribed Image Text:activity(midterm lesson 5) Question 1 of 1 use the variables severity and anxiety as independent variables. Observati Severity Surg-Med Anxiety Satisfaction compute for the confidence interval on the slope of the (regression coefficient) either for the first independent variable ( l) or the 1 50 2.1 68 second independent variable (2) for the data: patient's satisfaction as well as the confidence interval on the mean response using 95% confidence 2 24 1 2.8 77 X1(age) = 20 3 46 1 3.3 96 4 48 1 4.5 80 5 58 2 43 6 60 5.1 44 7 65 1 5.5 26 & x2(severity) = 75 8 42 1. 3.2 88 9 42 3.1 75 interval when 10 50 1. 2.4 57 11 38 1 2.2 56 & 12 30 2.1 88 and also compute the prediction of the new variable using the same values of l1 l2 13 31 1.9 88 14 34 3.1 102 15 30 3 88 16 48 1. 4.2 70 17 61 1 4.6 52 18 71 1 5.3 43 19 62 7.2 46 20 38 7.8 56 21 41 1 7 59 22 66 1 6.2 26 23 31 1 4.1 52 24 42 3.5 83 25 40 1 2.1 75
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