> summary(ceges) cа11: JmCformula = Height - wat) Residuals: мin -20. 229.2.624 1.456 10Median 3Q 4. 561 10. 364 Мах coefficients: (Intercept) 93,21610511.625314 0. 024691 Estimate std. Error t value er(>|t|) 8.018 5.97e-09 *** 6.455 3.94e-07 *** wat 0.003825 sianif. codes: 0 ****' 0.001 ***' 0.01 **' 0.05 '.' 0.1 www Residual standard error: 7.393 on 30 degrees of freedom Multiple R-squared: 0. 5814, F-statistic: 41. 67 on 1 and 30 DER-value: 3.938e-07 Adjusted R-squared: 0. 5674 > confint (reares) 2.5 % (Intercept) 69.47404650 116. 95816271 0.01687938 97.5 % Wat 0.03250356
> summary(ceges) cа11: JmCformula = Height - wat) Residuals: мin -20. 229.2.624 1.456 10Median 3Q 4. 561 10. 364 Мах coefficients: (Intercept) 93,21610511.625314 0. 024691 Estimate std. Error t value er(>|t|) 8.018 5.97e-09 *** 6.455 3.94e-07 *** wat 0.003825 sianif. codes: 0 ****' 0.001 ***' 0.01 **' 0.05 '.' 0.1 www Residual standard error: 7.393 on 30 degrees of freedom Multiple R-squared: 0. 5814, F-statistic: 41. 67 on 1 and 30 DER-value: 3.938e-07 Adjusted R-squared: 0. 5674 > confint (reares) 2.5 % (Intercept) 69.47404650 116. 95816271 0.01687938 97.5 % Wat 0.03250356
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
What is the upper bound of the 95% confidence interval?

Transcribed Image Text:> cegre=lnCHeight wat)
> summary (regres)
call:
Jn(formula
Height - wat)
Residuals:
Min
-20. 229-2.624
10Median
1.456
3Q
мах
4.561
10. 364
coolm
Coefficients:
(Intercept) 93.21610511.625314
Wat
Estimate std. Error t value Pr (>|t|)
8.018 5.97e-09 ***
6.455 3.94e-07 ** *
0. 024691
0.003825
signif. codes: 0 ***** 0.001 ***' 0.01 **' 0.05 '.' 0.1 1
Residual standard error: 7.393 on 30 degrees of freedom
Multiple R-squared: 0.5814,
F-statistic: 41. 67 on 1 and 30 DER-value: 3.938e-07
Adjusted R-squared: 0. 5674
> confint (regres)
2.5 %
97.5 %
(Intercept) 69.47404650 116.95816271
wat
0. 01687938
0.03250356
Expert Solution

Step 1
Solution:
Given information:
n= 32 observation
Step by step
Solved in 2 steps

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