# lab8 - Problem1 Pearson Correlation Coefficients, N = 13...

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Problem1 Pearson Correlation Coefficients, N = 13 Prob > |r| under H0: Rho=0 Left Right Dist leftkg rightkg distmeter Left 1.00000 0.8957 2 <.0001 0.8117 4 0.0008 1.0000 0 <.0001 0.8957 2 <.0001 0.81174

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0.0008 Right 1.0000 0 0.8805 5 <.0001 0.8957 2 <.0001 1.0000 0 <.0001 0.88055 <.0001 Dist
0.8805 5 <.0001 1.0000 0 0.8117 4 0.0008 0.8805 5 <.0001 1.00000 <.0001 leftkg 0.8957 2 <.0001 0.8117

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4 0.0008 1.0000 0 0.8957 2 <.0001 0.81174 0.0008 rightkg 1.0000 0 <.0001 0.8805 5 <.0001 0.8957 2
<.0001 1.0000 0 0.88055 <.0001 distmeter 0.8805 5 <.0001 1.0000 0 <.0001 0.8117 4 0.0008 0.8805 5 <.0001

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1.00000 As shown by the SAS output, the correlations of the new dataset are the same as that of the original data set. Problem2 The CORR Procedure 3 Variables: consum price temp Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum consum 30 0.35943 0.06579 10.78300 0.25600 0.54800 price 30 0.27530 0.00834 8.25900 0.26000 0.29200 temp 30 49.10000 16.42192 1473 24.00000 72.00000 Pearson Correlation Coefficients, N = 30 Prob > |r| under H0: Rho=0 consum price temp consum 1.00000
-0.25959 0.1660 0.77562 <.0001 price 1.00000 -0.10821 0.5692 temp -0.10821 0.5692 1.00000

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## This note was uploaded on 09/21/2011 for the course STAT 350 taught by Professor Staff during the Spring '08 term at Purdue University.

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lab8 - Problem1 Pearson Correlation Coefficients, N = 13...

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