The regression equation is Duration = - 2.45 + 0.0767 Time SE Coef 0.2556 Predictor Coef P Constant -2.4454 -9.57 0.000 Time 0.076739 0.003360 22.84 0.000 0.225947 R-Sq 95.8% %3D Analysis of Variance Source DF 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.
The regression equation is Duration = - 2.45 + 0.0767 Time SE Coef 0.2556 Predictor Coef P Constant -2.4454 -9.57 0.000 Time 0.076739 0.003360 22.84 0.000 0.225947 R-Sq 95.8% %3D Analysis of Variance Source DF 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.
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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a. Can you construct a 95% confidence interval for the y intercept for the regression equation then justify the
b. Also, what are the chances of seeing a relationship between time and duration as strong or stronger than this, when in fact there was none?
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