Question

Discuss a real-life example in which a regression model could be used or is used currently in the banking industry. How would you use SAS Enterprise Miner to create a regression model of your example? Are there any data tools we must use in SAS Enterprise Miner before we use the regression model?

Answer 1

A. In Banking Industry Linear regression model used is multiple linear regression and neural network

Using SAS Enterprise Miner to create a regression model of example by step by step

B. Gather and preprocessing Data for you project for regression and neural networking by steps:

1. Input the data source

2. Create Partitioned Data Sets

3. Important Variable

4. Transform Data and Filter Outliers

5. Use Other Modeling Nodes

C. Creating Regression Node General Properties are :

1. Node ID : Node is process flow diagram

2. Imported Data : imported data for for performing regression on node along with data poperty

3.Exported Data : the output data ports that the Regression node creates data for when it runs

D.Regression Node Train Properties

E. Required equation for regression pmodel for your problem

F: Regression Node on train properties

G:Regression Node Train Properties: Model Selection

H.Regression Node Train Properties: Optimization Options

I.Regression Node Train Properties: Convergence Criteria

J.Regression Node Train Properties: Output Options

There is no additional tools are external tools are used in SAS Enterprise Miner, but there is library for opertion of data

And above information are SAS document information, there is lot of things need to explain, i just used only main things, i hope this may help you