Note: To run the SAS code files, you should save them on your computer as .sas files.

Week 10 - Comparison of multiple groups - GLM procedure.

Plant waste: The data refer to five suppliers of the Levi-Strauss clothing manufacturing plant in Albuquerque. The firm's quality control department collects weekly data on percentage waste (run-up) relative to what can be achieved by computer layouts of patterns on cloth. It is possible to have negative values, which indicate that the plant employees beat the computer in controlling waste. Under questions, are the difference among the 5 plants. SAS code plantwaste.sas - Data set: plantwaste.txt.

Week 9 - Comparison of multiple groups - ANOVA model.

Heart rate data: How is heart rate affected by physical activity? The more work your body is doing the higher your heart rate will be. An experiment was conducted in the fall of 1993 to explore the nature of the relationship between a person's heart rate and the frequency at which that person stepped up and down on steps of various heights. Both frequency of stepping and height of the step were expected to affect heart rate. See lecture notes. SAS code heartrate.sas - Data set: stepping.txt.

Flow rates data: The data were collected in a study comparing the variability in air velocity through clean-room air filters to the variability stated in the purchaser’s specifications (see lecture handout). SAS code flowrate.sas - Data set: flowrate.txt.

Week 7 - Model selection in multiple regression.

Car fuel consumption - The data were collected in 1975 on 32 brands of automobiles. The data are on gas mileage (miles/gallon), motor displacement (cubic in), horse power (ft-lb), torque (ft-lb), compression ratio, rear axle ratio, carburetor (barrels), number of transmission speeds, overall length (in), width (in), weight (lbs) and type of transmission (1-automatic, 2=manual). he goal of the analysis is to determine which variables are important for predicting the gasoline mileage performance of the vehicles (in miles per gallon). SAS program mileage.sas - Data file mileagesas.txt

Week 6 - More on multiple regression - non-linearity and collinearity.

Performance of field sales representatives. Data in Chapter 13 of OTT. 

Data were collected on 512 sales representatives and  include

PROFIT = net profit margin for all orders placed through the representatives.

AREA = area of the district in thousands of square miles

POPN = millions of people in the district

OUTLETS = number of outlets in the district

COMMIS = 1 for full-commission representatives and 0 for partially salaried representative. SAS program sales.sas - Data file sales.txt

Movie opening data: Data were collected on 32 movies released between 1997-1998. The data are on the variables: Movie = Title of the movie

Opening = Gross receipts for the weekend after the movie was released (in millions of dollars) Budget = The total budget for the movie (in millions of dollars), Star = Whether or not the movie has a superstar, Release = Whether or not the movie was released in the summer. SAS program movie.sas - Data file movie.txt

Week 5 and 6 - Multiple regression.

CPU usage: A study was conducted to examine what factors affect the CPU usage. A set of 38 processes written in a programming language was considered. For each program, data were collected on the CPU usage (time) in seconds of time, the number of lines (line) in thousands generated by the program execution, the number of programs to complete an application, the number of devices. SAS program cpu.sas - Data file cpudat.txt

World Oil production: Data are on the world oil production in millions of barrels. SAS program oilprod.sas - Data file oilprod.txt

Week 4  - Straight line regression.

The tower of Pisa: The following data represents the lean of the tower of Pisa from 1975 to 1987.