Consider the following output from a regression analysisS 0.98223752 0.96479055

Question

Consider the following output from a regression analysisS 0.98223752 0.96479055 Multiple FR R Square Adjusted R Square Standard Error Observations 0.95518798 0.23310465 15 MS 5.459428 100.4721 2.82244E-08 0.054338 df Significance F Regression Residual Total 16.37828444 0.597715562 16.976 14 Intercept X1 X2 X3 Coefficients Standard Error tStatP-value 3.98076893 1.573044228 0.07321648 0.020889718 0.0323216 0.020895785 0.0038861 0.003833348 2.530615 0.027943 3.504905 0.004928 1.5468 0.150182 1.01376 0.332478 A general observation about this model is that: overall, the model is not significant. O all variables are indicator variables too many variables are included. the sample size is 1

Explanation / Answer

Sample size = Total degrees of freedom + 1 = 14 + 1 = 15

Hence,

Option D is correct.

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