Lab. Regression of Data Mining
First Name:
Last Name:
Answer the questions and hand-in in hard copy by Thursday (April 21st)
This is not a group project. You need to finish by yourself.
Regression Practice 1 :
Goal: understand the birth weight.
1, Create a new project named Birth Weight Analysis
2, Create a new diagram named Birth Weight Analysis
3, Specify the data source: SAS TABLE -> Browse -> Sashelp -> Bweight. Set weight as our target
and keep all the other variables as our inputs. The variable descriptions are as following:
Variable
Description
weight
Infant’s Birth Weight
black
Indicator of Black Mother
married
Indicator of Married Mother
boy
Indicator of Boy
visit
Prenatal Visit: 0 - no visit, 1 - visit in second trimester,
2 - visit in last trimester, 3 - visit in first trimester
ed
Mother’s Education Level: 0 - high school, 1 - some college,
2 - college, 3 - less than high school
smoke
Indicator of Smoking Mother
cigsper
Number of Cigarettes Smoked per Day
mom_age Mother’s Age
m_wtgain
Mother’s Weight Gain during Pregnancy
4. Simply drag the bweight data to the diagram. Then drag a regression node from the model
tab. Connect two nodes and run.
5. In the results, find the R square value of this model: ____.
6. Based on the R square, is this a good prediction model for the baby weight? How to improve
the model effectiveness?
7. In the estimates part, find following outputs:
Analysis of Maximum Likelihood Estimates
Standard
Parameter
DF
Estimate
Error
t Value
Pr > |t|
Intercept
1
3295.6
11.2256
293.58
<.0001
black
1
-196.1
7.0278
-27.91
<.0001
boy
1
109.8
4.7936
22.91
<.0001
cigsper
1
-4.2229
0.8971
-4.71
<.0001
ed
1
-1.3560
2.2062
-0.61
0.5388
m_wtgain
1
8.7199
0.1872
46.59
<.0001
married
1
76.2923
6.2098
12.29
<.0001
mom_age
1
5.9424
0.4518
13.15
<.0001
smoke
1
-168.8
12.4646
-13.54
<.0001
visit
1
6.4254
3.4559
1.86
0.0630
7.1 Is Mom’s education level associated with baby’s weight? If yes, how?
7.2 Is Mon’s marriage status associated with baby’s weight? If yes, how?
7.3 Any significant difference between boy and girl? Who weighs more?
7.4 Is it necessary to visit OB more often to control the baby’s weight?
7.5 A bigger baby makes the Mom more likely to have difficult labor. If that is true, do you
suggest a woman to give birth to the baby when she is younger or older?
7.6 A bigger baby makes the Mom more likely to have difficult labor. If that is true, do you
suggest a Mom to smoke or not?
Regression Practice 2:
Goal: examine marketing strategies.
1, Create a new project named Ads Investment Analysis
2, Create a new diagram named Ads Investment Analysis
3, Specify the data source: Metadata Repository -> Browse -> ABA1 -> saledata. Change the role
of each variable as following:
DirectMail, Internet, PrintMedia, and TVRadio are advertising investment variables.
SalesAmount are the sales record under each advertisement strategy.
The goal of this study is to understand the best investment of advertisement in order to reach
the highest return on investment (ROI)
Check the regression results and answer following questions:
1. How well is the model?
2. What are the effective advertisement strategies?
3. Which advertisement strategy is the best?
4. Which advertisement strategy is effective but the worst?
5. Which advertisement strategy should be abandoned?
6. If you are the marketing manager, how will you change the marketing plan?