Obs 1 2 3 4 5 6 7 8 9 10 12 14 15 16 17 18 19 20 21 22 23 Price 20.90 23.00 32.83 35.10 37.50 37.78 37.82 39.73 41.47 51.34 56.20 56.90 57.64 59.69 60.04 60.97 62.25 63.38 66.94 67.62 67.72 Dividend 3.32 3.54 0.46 8.35 0.77 8.82 7.98 8.39 8.32 SUMMARY OUTPUT 10.67 9.98 13.16 10.88 Multiple R Square Adjusted R Square Standard Error Observations 10.06 11.65 13.91 Regression Residual ANOVA Intercept 9.64 Dividend 17.24 16.82 14.39 0.810841258 0657463546 0.645230101 10.14136203 of F Significance SS MS 15527.331151 5527.331151 53.74312449 5.5486E-08 28 2879.722266 102.8472238 29 8407.053417 Coefficients Standard Error Stot P-volue Lower 95% Upper 95% Lower 95.0% Ipper 95.0% 28.05910324 4.106298803 6.833185938 2.00091E-07 19.64773145 36.47047504 19.64773145 36.470475 2.40641521 0.328253305 7.330970229 5.5486-08 1.734018794 3.078811625 1.734018794 3.0788116 52.12325534 f. What is the 95% prediction interval of price per share if the dividend is $10? (Round your answers to 4 decimal places.)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Question
Obs
SCH⠀⠀SAS98522
11
12
14
15
16
17
18
19
20
21
23
Price
20.90
23.00
32.83
35.10
37.50
37.78
37.82
39.73
40.64
41.47
45.43
51.34
56.20
56.90
57.64
59.69
60.04
60.97
62.25
63.38
66.94
67.62
67.72
Dividend
3.32
3.54
0.46
8.35
0.77
8.82
7.98
8.39
6.60
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
8.32
9.38
10.06 ANOVA
11.65
13.91 Regression
10.67 Residual
9.98
Total
13.16
10.88
8.33 Intercept
9.64
Dividend
17.24
16.82
14.39
0.810841258
0.657463546
0.645230101
10.14136203
dy
30
SS
MS
F Significance F
5527.331151 5527.331151 53.74312449 5.5486E-08
1
28 2879.722266 102.8472238
29 8407.053417
Coefficients Standard Error Stat
P-value Lower 95%
Upper 95%
28.05910324 4.106298803 6.833185938 2.00691E-07 19.64773145 36.47047504
Lower 95.0% Ipper 95.0%
19.64773145 36.470475
2.40641521 0.328253305 7.330970229 5.5486E-08 1.734018794 3.078811625 1.734018794 3.0788116
52.12325534
1. What is the 95% prediction interval of price per share if the dividend is $10? (Round your answers to 4 decimal places.)
Transcribed Image Text:Obs SCH⠀⠀SAS98522 11 12 14 15 16 17 18 19 20 21 23 Price 20.90 23.00 32.83 35.10 37.50 37.78 37.82 39.73 40.64 41.47 45.43 51.34 56.20 56.90 57.64 59.69 60.04 60.97 62.25 63.38 66.94 67.62 67.72 Dividend 3.32 3.54 0.46 8.35 0.77 8.82 7.98 8.39 6.60 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 8.32 9.38 10.06 ANOVA 11.65 13.91 Regression 10.67 Residual 9.98 Total 13.16 10.88 8.33 Intercept 9.64 Dividend 17.24 16.82 14.39 0.810841258 0.657463546 0.645230101 10.14136203 dy 30 SS MS F Significance F 5527.331151 5527.331151 53.74312449 5.5486E-08 1 28 2879.722266 102.8472238 29 8407.053417 Coefficients Standard Error Stat P-value Lower 95% Upper 95% 28.05910324 4.106298803 6.833185938 2.00691E-07 19.64773145 36.47047504 Lower 95.0% Ipper 95.0% 19.64773145 36.470475 2.40641521 0.328253305 7.330970229 5.5486E-08 1.734018794 3.078811625 1.734018794 3.0788116 52.12325534 1. What is the 95% prediction interval of price per share if the dividend is $10? (Round your answers to 4 decimal places.)
Expert Solution
Step 1

In regression analysis a prediction interval is an interval in which a particular value will lie given a specific probability. It distinguishes from confidence interval that the latter indicates an interval of a parameter given the observations and the former will dictate future observations.

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