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?

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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 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?

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