Business Survival Analysis Using SAS by Jorge Ribeiro
Author:Jorge Ribeiro [Ribeiro, Jorge]
Language: eng
Format: epub, pdf
Even though the model has just one input variable, there are still the _t_ and CSB variables. All the variables created by SAS Enterprise Miner have an underscore ⶠadded as prefix. Look at the Analysis of Maximum Likelihood Estimates in Output 5.5.
Output 5.5: The Analysis of Maximum Likelihood Estimates
The Analysis of Maximum Likelihood Estimates output has valuable information. There is the estimate of coefficients (betas) â¶. This value â· is of particular interest in relation to the numeric variable Prev_Garden. There is the Exp (Est) column, which indicates the odds ratio and is equal to e raised to the power of the Estimate value. The value of 1.004 ⸠for Prev_Garden is interpreted later. The Pr > ChiSq column â¹ shows that all variables have a p-value < 0.05 and are statistically significant at the 5% level.
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