The images provided are an Output from a Forward Regression model built on the Donations dataset using TargetB within Sas E Miner. Provide an e
The images provided are an Output from a Forward Regression model built on the Donations dataset using TargetB within Sas E Miner. Provide an e
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
Related questions
Question
The images provided are an Output from a Forward Regression model built on the Donations dataset using TargetB within Sas E Miner.
Provide an explanation as to why the final model turned out this way.
Explain the relationship between the input variables in the model and the target variable

Transcribed Image Text:Analysis of Maximum Likelihood Estimates
Standard
Wald
Standardized
Pr > Chisq
Parameter
DF
Estimate
Error
Chi-Square
Estimate
Exp (Est)
Intercept
1.
1.9482
0.2277
73. 20
<.0001
7.016
FirstTime
1
0.000058
0.000027
4.64
0.0313
0.0368
1.000
LOG_AverageGift
1
-0. 4347
0.0668
42.33
<.0001
-0.1140
0.647
LastTime
-0.00195
0.000241
65.25
<.0001
-0.1340
0.998
Odds Ratio Estimates
Point
Effect
Estimate
FirstTime
1.000
LOG_AverageGift
0.647
LastTime
0.998

Transcribed Image Text:Summary of Forward Selection
Effect
Number
Score
Validation
Step
Entered
DF
In
Chi-Square
Pr > Chisq
Profit
LastTime
82.7504
<.0001
-264.3
2
LOG_AverageGift
2
60.1450
<.0001
-212.7
1
3
FirstTime
1
3
4.6406
0.0312
-194. 4
The selected nodel, based on the total profit for the validation data, is the model trained in Step 3. It consists of the following effects:
Intercept FirstTime LOG_AverageGift LastTine
Likelihood Ratio Test for Global Null Hypothesis: BETA=0
-2 Log Likelihood
Likelihood
Intercept
Intercept a
Ratio
Only
Pr > Chisq
Covariates
Chi-Square
DF
6758.058
6608.891
149.1667
3
<.0001
Type 3 Analysis of Effects
Wald
Effect
DF
Chi-Square
Pr > Chisq
FirstTime
4.6377
0.0313
LOG_AverageGift
42.3317
<.0001
LastTime
1
65.2528
<.0001
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