a. Predict the Starting Salary for students with a cumulative GPA of 5.5 upon graduation. b. Use the template to generate a 98% confidence interval for the mean around your prediction.
a. Predict the Starting Salary for students with a cumulative GPA of 5.5 upon graduation. b. Use the template to generate a 98% confidence interval for the mean around your prediction.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Topic Video
Question
a. Predict the Starting Salary for students with a cumulative GPA of 5.5 upon graduation.
b. Use the template to generate a 98% confidence interval for the mean around your prediction.

Transcribed Image Text:SUMMARY OUTPUT
Regression Statistics
Multiple R
0.905331
R Square
0.819625
Adjusted R 0.812109
Standard Ei 6248.109
Observatioi
26
ANOVA
df
1 4.26E+09 4.26E+09 109.0559
SS
MS
ignificance F
Regression
2.09E-10
Residual
24 9.37E+08 39038865
Total
25
5.19E+09
Coefficients:andard Erre
t Stat
P-value
Lower 95% Upper 95%.ower 95.0%Jpper 95.0%
Intercept
10598.58 4111.368 2.577871 0.016509
2113.13
19084.02
2113.13 19084.02
Student GP 6971.384 667.5663
10.44298
2.09E-10 5593.595 8349.173 5593.595 8349.173

Transcribed Image Text:Student GPA
starting salaries
4.5
48094
X value:
6.8 alpha:
0.01
26
5.8
42400
std error
6248.109
6.1
50987
intercept
10598.58
5.5
40598
slope
6971.384
t
2.79694
4.7
53500
x-bar
5.878846
4.1
36184
var(x)
3.504035
3.9
32115
Prediction
58003.99
Prediction Interval
6.5
51250
40112.64 75895.33
5.6
45155
Confidence Interval
4.8
37108
54169.39 61838.58
3.5
34540
4.05
39250
starting salaries
4.5
41500
7.5
60230
90000
7.4
58750
80000
6.2
52900
70000
7.8
58700
y = 6971.4x + 10599
4.5
40135
60000
R = 0.8196
8.8
70214
50000
starting salaries
8.5
73065
40000
Linear(starting salaries )
8.7
68952
30000
3.5
38786
20000
2.5
39102
10000
7.5
71020
1
2
3
4
7
8
9
10
8.1
75401
8.3
81203
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