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Add the necessary statements to your logistic regression in problem 9.8 to produce an ROC curve (sensitivity versus 1 – specificity). Use the OUTROC MODEL option to create a data set so you can plot the curve. Use PROC GPLOT (or PROC PLOT) to generate this curve.

Run the following program to create the data set PRINCIPAL: Write the statements necessary to run a factor analysis and produce a scree plot. Looking at this plot, decide how many factors you want to maintain, and add an option to the procedure to extract this many factors and to perform a VARIMAX rotation

Run a factor analysis on the questionnaire data in Chapter 3, Section B. Use only the variables PRES, ARMS, and CITIES. Request two factors, VARIMAX rotation method, and set the PRIORS estimate of conununality to SMC. Include the option to generate a scree plot.

Revise your program from problem 10.2 to perform a non-oblique rotation and compare the factor loadings with the results from 10.2. Output a data set containing the factor scores. Use PROC PRINT to list out the first 10 observations from this data set (hint: use the data set option 088=10). Compare these scores with a

Using the test scores in Chapter 11, Section B, run a factor analysis 011 the test, using the scored responses to each of the five questions as the items to factor analyze. Request only one factor and create an output data set containing that one factor score. Do not request any rotations. Use PROC PRINT

Given the following answer key: Write a SAS program to grade the six students whose data are shown here. Provide one listing in Social Security number order and another in decreasing test-score order. Compute both a raw score (the number of items correct) and a percentage score. Student Data:

Given the five lines of data: Write a SAS DATA step to read these data, assigning the four data values to the variables X, Y,C, and Z. Variable C should be a character variable. (Note that the value of variable C in the last line is nine characters.) The double quotes should be stripped off

Write a SAS DATA step to read the following lines of data. Notice that two commas in a row indicate a missing value, and you want to strip off the quotes from quoted strings (remember there is an INFILE option to do this). The variables are NAME (up to 20 characters), AGE, HEIGHT, and WEIGHT.

Given the three lines of data: Write a SAS DATA step to read these data, assigning the four data values to the variables X1 to X4.

You are given data values, separated by one or more spaces, representing a patient JD, date of visit. DX code, and cost. Create a SAS data set called OFFICE from these data: NOTES: (1) There is no cost value for patient 3, and the line is not padded with blanks. (2) The maximum length [or