Answers for Assignment_4 (Fall 2008)

Answers for Assignment_4 (Fall 2008) - C o rrela tio n s...

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Unformatted text preview: C o rrela tio n s 1.000 .081 .163 .008-.052 .120-.257** . .373 .079 .931 .575 .194 .010 123 123 118 118 120 118 100 .081 1.000 .199* .033-.101 .073 .150 .373 . .031 .725 .272 .432 .138 123 123 118 118 120 118 100 .163 .199* 1.000-.038 .113 .120-.154 .079 .031 . .683 .225 .198 .134 118 118 118 118 118 117 96 .008 .033-.038 1.000-.375** .276**-.337** .931 .725 .683 . .000 .003 .001 118 118 118 118 118 117 96-.052-.101 .113-.375** 1.000-.144 .074 .575 .272 .225 .000 . .121 .468 120 120 118 118 120 118 98 .120 .073 .120 .276**-.144 1.000-.280** .194 .432 .198 .003 .121 . .006 118 118 117 117 118 118 96-.257** .150-.154-.337** .074-.280** 1.000 .010 .138 .134 .001 .468 .006 . 100 100 96 96 98 96 100 P ears on C orrelation S ig. (2-tailed) N P ears on C orrelation S ig. (2-tailed) N P ears on C orrelation S ig. (2-tailed) N P ears on C orrelation S ig. (2-tailed) N P ears on C orrelation S ig. (2-tailed) N P ears on C orrelation S ig. (2-tailed) N P ears on C orrelation S ig. (2-tailed) N A ge C O F F E E S E N S A T C O N T R O L P R O C R A S E S T E E M A N X IE T Y A ge C O F F E E S E N S A T C O N T R O L P R O C R A S E S T E E M A N X IE T Y C orrelation is s ignific ant at the 0.01 lev el (2-tailed). **. C orrelation is s ignific ant at the 0.05 lev el (2-tailed). *. STAS2126 Assignment#4 (Summer 2008) Please use your first and last name as file name for each assignmentDO NOT USE # SYMBOL Go back to the Assignments folder to submit (NOT DROPBOX) CORRELATIONS: Look at the correlation matrix below to answer the following questions. Notice that variables are listed vertically and also horizontally across top of the correlation table. SPSS output shows correlations above and below diagonalthese values are mirror images of each other. Interpreting correlations: For a positive correlation, as the score on one variable goes up, the score on the second variable also goes up; for a NEGATIVE correlation, as the score on one variable goes up, the score on the second variable goes down. For example, there is a positive correlation between watching violence on TV and aggression (r =.36)the more TV violence that is watched the higher the level of l aggression. There is a negative correlation between intellectual ability and aggression (r=-.42)the higher is ones intellectual ability the lower is the level of aggression....
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Answers for Assignment_4 (Fall 2008) - C o rrela tio n s...

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