7.00.02 - Input - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Release Date
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)

The input table, glm_tempdamage, has 22 observations with one numerical predictor variable (temp) and one response variable (damage). The value of the response variable shows whether there is damage due to temperature (1 means yes, 0 means no).

LRTEST Example Input Table glm_tempdamage
id temp damage
1 53 1
2 57 1
3 58 1
4 63 1
5 66 0
6 67 0
7 67 0
8 67 0
9 68 0
10 69 0
11 70 1
12 70 0
13 70 1
14 70 0
15 72 0
16 73 0
17 75 0
18 75 1
19 76 0
20 76 0
21 78 0
22 79 0

Because this is a binary outcome, the two models use GLM with logistic regression. SQL-MapReduce Call 1 generates a model using the predictor variable (the second table in its Output section). SQL-MapReduce Call 2 generates the null model (the second table in its Output section). The null model is produced with only the intercept. SQL-MapReduce Call 3 uses the LRTEST function to compare the two GLM models.