Refer to the following computer output from estimating the parameters of the nonlinear model Y = aRbScTd The computer output from the regression analysis is: DEPENDENT VARIABLE: LNY R-SQUARE F-RATIO P-VALUE ON F OBSERVATIONS: 32 0.7766 32.44 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT -0.6931 0.32 -2.17 0.0390 LNR 4.66 1.36 3.43 0.0019 LNS -0.44 0.24 -1.83 0.0774 LNT 8.28 4.60 1.80 0.0826 Based on the information in the table, which of the parameter estimates are statistically significant at the 90% level of confidence?
Refer to the following computer output from estimating the parameters of the nonlinear model Y = aRbScTd The computer output from the regression analysis is: DEPENDENT VARIABLE: LNY R-SQUARE F-RATIO P-VALUE ON F OBSERVATIONS: 32 0.7766 32.44 0.0001 VARIABLE PARAMETER ESTIMATE STANDARD ERROR T-RATIO P-VALUE INTERCEPT -0.6931 0.32 -2.17 0.0390 LNR 4.66 1.36 3.43 0.0019 LNS -0.44 0.24 -1.83 0.0774 LNT 8.28 4.60 1.80 0.0826 Based on the information in the table, which of the parameter estimates are statistically significant at the 90% level of confidence?
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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Refer to the following computer output from estimating the parameters of the nonlinear model
Y = aRbScTd
The computer output from the
DEPENDENT VARIABLE: | LNY | R-SQUARE | F-RATIO | P-VALUE ON F | |
OBSERVATIONS: | 32 | 0.7766 | 32.44 | 0.0001 | |
VARIABLE | PARAMETER ESTIMATE | STANDARD ERROR | T-RATIO | P-VALUE | |
INTERCEPT | -0.6931 | 0.32 | -2.17 | 0.0390 | |
LNR | 4.66 | 1.36 | 3.43 | 0.0019 | |
LNS | -0.44 | 0.24 | -1.83 | 0.0774 | |
LNT | 8.28 | 4.60 | 1.80 | 0.0826 |
Based on the information in the table, which of the parameter estimates are statistically significant at the 90% level of confidence?
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