The regression equation is Duration = - 2.45 + 0.0767 Time Predictor Coef -2.4454 SE Coef T P Constant 0.2556 -9.57 0.000 Time 0.076739 0.003360 22.84 0.000 s - 0.225947 R-Sq - 95.8% Analysis of Variance Source DF SS MS F P 1 26.633 26.633 521.69 0.000 Regression Residual Error 23 1.174 Total 0.051 24 27.807 The above regression results are from the duration of Old Faithful's eruptions as a function of the time since the last eruption.
The regression equation is Duration = - 2.45 + 0.0767 Time Predictor Coef -2.4454 SE Coef T P Constant 0.2556 -9.57 0.000 Time 0.076739 0.003360 22.84 0.000 s - 0.225947 R-Sq - 95.8% Analysis of Variance Source DF SS MS F P 1 26.633 26.633 521.69 0.000 Regression Residual Error 23 1.174 Total 0.051 24 27.807 The above regression results are from the duration of Old Faithful's eruptions as a function of the time since the last eruption.
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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Can you contruct a 95% confidence interval for the Y intercept for the regression equation.
Then explain what do you conclude from this regression?

Transcribed Image Text:The regression equation is
Duration
= - 2.45 + 0.0767 Time
Predictor
Coef
SE Coef
P
Constant
-2.4454
0.2556 -9.57
0.000
Time
0.076739 0.003360
22.84
0.000
S = 0.225947
R-Sq
95.8%
Analysis of Variance
Source
DF
SS
MS
F
P
Regression
1.
26.633
26.633 521.69
0.000
Residual Error 23
1.174
0.051
Total
24 27.807
The above regression results are from the duration of Old Faithful's eruptions as a function of the time
since the last eruption.
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