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 ❶ added 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) ❶. This value ❷ 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 ❸ for Prev_Garden is interpreted later. The Pr > ChiSq column ❹ shows that all variables have a p-value < 0.05 and are statistically significant at the 5% level.

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