# Lab05 - STAT 350 Lab 5 Due Friday April 8 Submit Problems 1...

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STAT 350 Lab 5 Due Friday, April 8 Submit Problems 1 to 6, include your sas code and graphs for each problem. Purposes: Correlations, Scatterplot, and Linear Regression Note: From now on, I will assume you can use a data statement to create SAS datasets. For each new dataset we work with you will have to infile them into the SAS system before the following code will work for your datasets. In other words, the code below assumes you've already put your dataset into SAS. The learning dataset for today is the “punting” data (file “punting.txt”). It contains the strength of the left leg, strength of the right leg, and distance of a punt. Correlations: “proc corr” stands for the correlation procedure. It simply gives the pairwise Pearson’s correlation coefficients for each pair of quantitative variables in your dataset. (Note: it will ignore any categorical variables if you have any.) It also gives some useful summary statistics for each variable like mean, stdev, etc. You might like to use

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## This note was uploaded on 04/23/2011 for the course STAT 350 taught by Professor Staff during the Spring '08 term at Purdue.

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Lab05 - STAT 350 Lab 5 Due Friday April 8 Submit Problems 1...

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