Announcements

Check periodically for class announcements here.

Jan 15, 27, 29: Away for meetings/conferences.

Office hours: TTH 1400-1500, MC3105A.

Graders: TBA (tba@email.unc.edu) and TBA (tba@bios.unc.edu)

 For Problem 5.9f, to obtain the unlogged values, you may want to insert a segment of SAS code as follows:

data new;
set old; * the dataset created previously for reading in the log values ...;
conc=10**logconc;
dose=10**logdose; run;

PROC REG data=new;
model conc=dose;

Alternatively, you can use the data below for the unlogged values.

RAT CONC DOSE
1 446.68 1.51
2 177.83 2.14
3 181.97 2.63
4 89.13 3.47
5 52.48 4.47
6 39.81 5.62
7 35.48 6.76
8 20.89 8.32
9 13.49 10.23
10 11.75 10.96
11 8.91 12.30
12 7.59 14.13

Datasets [from "Applied Regression Analysis and Multivariable Methods, 4e" by Kleinbaum et al (2008)]
ASCII Datasets
Excel Datafiles
Minitab Datasets
SAS (xpt) Datasets
Stata Datasets

Instructions for importing SAS (xpt) datasets:

Unpack SAS.ZIP and follow the steps below to see the content of CH05Q02.XPT, say.

   Step 1: Double click CH05Q02.XPT (to invoke SAS)
   Step 2: In SAS EDITOR WINDOW, enter the following statements:

                Title 'Example on importing SAS datasets XPT';
                proc contents data=work.CH05Q02; run;
                proc print data=work.CH05Q02; run;

   Step 3: Submit the job.

Instructions for importing ASCII datasets:

Copy the content to SAS EDITOR WINDOW and load the data in using CARDS statement.
Alternatively, you can use the INFILE statement to read the file into SAS. Keep in mind
that these are tab-delimited files, so the INFILE statement looks like this:

        infile "EX0502.dat" dlm='09'x dsd missover;

Also, make sure to remove the line containing the variable names from the file.