« Back How to Choose the Right Type of Regression Sas Training Techniques


By vikas  |  SAS Programming  |  On 6/18/2018 10:01:09 PM

One of themost important topics in any course SASTraining In Pune is the use of regression and its practical application invarious business scenarios. We have identified 7 key types of regression techniquesthat present a range of different use cases for different types of problemsolving and various types of variables used in relation to each other.

 As askilled student of SAS Training In Pune  you would know these 7 techniques as below:

  1. Linear Regression
  2. Polynomial Regression
  3. Logistic Regression
  4. Ridge Regression
  5. Lasso Regression
  6. Stepwise Regression
  7. ElasticNet Regression

 

Now the question arises for a student of SAS ClassroomTraining In Pune – how to determine which regression techniques to use forwhich type of business problems. If you are wondering about the same problemthen you are in the right place as you will be likely to find an answer here.

 

It isimportant to choose the best type of regression technique based on the type and a number of dependent and independent variables. Other important characteristicsof making this selection include the dimensionality of data among other keycharacteristics of the dataset being analyzed by experts of SAS training Pune.

 

Here is afew factors worth considering when working with different options in regressiontechniques:

1 – It isimportant to spend time on data exploration. This step should come beforecreating predictive models. Working on data exploration is needed toascertain the inter-relationship among variables and their impact on eachother. 

 

2 – Knowabout the different types of influencers or success drivers that can impactyour regression analysis. Professionals in SASCourse Training in Pune can pick from R-square, AIC, BIC, or error term.Another way is to eliminate bias by comparing the model with other sub-models.

 

3 –Interested to know of a good step to assess the models used for prediction?Then try out cross-validation. You can separate the dataset into multiplegroups like ‘train’ and ‘validate’. Then employ mean a squared difference to thegroups. For students of SAS training Pune, this will give you a precise measureof the prediction’s accuracy

 

Conclusion

In thispost, it is made clear for students of SAStraining Pune about which regression technique to apply for which type ofbusiness problem. With this knowledge, you can add substantial value to yourresponsibilities and carry out an expert job.

 


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