output
DESCRIPTION
spss output for abusive leadershipTRANSCRIPT
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REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT y /METHOD=ENTER x /PARTIALPLOT ALL /RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID).
Regression
NotesOutput Created 31-JUL-2015 15:06:54CommentsInput Active Dataset DataSet0
Filter Weight Split File N of Rows in Working Data File 12
Missing Value Handling
Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on cases with no missing values for any variable used.
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Syntax REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA CHANGE ZPP /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT y /METHOD=ENTER x /PARTIALPLOT ALL /RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID).
Resources Processor Time 00:00:00.58Elapsed Time 00:00:01.00Memory Required 2400 bytesAdditional Memory Required for Residual Plots
984 bytes
Descriptive StatisticsMean Std. Deviation N
y 124.7500 9.01640 12x 2.6833 .59212 12
Correlationsy x
Pearson Correlation y 1.000 .837x .837 1.000
Sig. (1-tailed) y . .000x .000 .
N y 12 12x 12 12
Variables Entered/Removeda
ModelVariablesEntered
VariablesRemoved Method
1 xb . Enter
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a. Dependent Variable: yb. All requested variables entered.
Model Summaryb
Model R
RSquare
Adjusted RSquare
Std. Errorof the
Estimate
Change StatisticsR SquareChange
FChange df1 df2
1 .837a .700 .670 5.17566 .700 23.383 1 10
Model Summaryb
ModelChange Statistics
Sig. F Change1 .001
a. Predictors: (Constant), xb. Dependent Variable: y
ANOVAa
ModelSum of
Squares df Mean Square F Sig.1 Regression 626.376 1 626.376 23.383 .001b
Residual 267.874 10 26.787Total 894.250 11
a. Dependent Variable: yb. Predictors: (Constant), x
Coefficientsa
Model
UnstandardizedCoefficients
Standardized
Coefficients
t Sig.
95.0% ConfidenceInterval for B
BStd.Error Beta
LowerBound
UpperBound
1 (Constant) 90.553 7.228
12.528 .000 74.448 106.658
x 12.744 2.635 .837 4.836 .001 6.872 18.616
Coefficientsa
ModelCorrelations
Zero-order Partial Part1 (Constant)
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x .837 .837 .837
a. Dependent Variable: y
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation NPredicted Value 112.2182 135.1577 124.7500 7.54608 12Residual -7.06007 10.40968 .00000 4.93480 12Std. Predicted Value -1.661 1.379 .000 1.000 12
Std. Residual -1.364 2.011 .000 .953 12
a. Dependent Variable: y
Charts