Looking at the SPSS Correlations Output, which two variables the most STRONGLY correlated? Correlations Compassion Fatique -282 Job Satisfaction Burnout Job Satisfaction Pearson Correlation -650 Sig. (2-tailed) .000 .000 200 200 200 650 .604 .000 Burnout Pearson Correlation 1 Sig. (2-tailed) 000 200 200 200 282 000 Compassion Fatigue Pearson Correlation .604 Sig. (2-tailed) 000 200 200 200 *. Correlation is significant at the 0.01 level (2-tailed). O job satisfaction and compassion fatigue O compassion fatigue and burnout O burnout and job satisfaction O based on the p-value, none of these variables are correlated

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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22)
Looking at the SPSS Correlations Output, which two variables the most STRONGLY correlated?
Correlations
Compassion
Fatigue
-.282
Job Satisfaction
Burnout
-.650
Job Satisfaction
Pearson Correlation
Sig. (2-tailed)
1
.000
.000
200
200
200
.604
.000
200
Burnout
Pearson Correlation
-.650
1
Sig. (2-tailed)
.000
200
200
Compassion Fatigue
Pearson Correlation
-.282
.604*
Sig. (2-tailed)
.000
.000
200
200
200
*Correlation is significant at the 0.01 level (2-tailed).
O job satisfaction and compassion fatigue
O compassion fatigue and burnout
burnout and job satisfaction
O based on the p-value, none of these variables are correlated
Transcribed Image Text:Looking at the SPSS Correlations Output, which two variables the most STRONGLY correlated? Correlations Compassion Fatigue -.282 Job Satisfaction Burnout -.650 Job Satisfaction Pearson Correlation Sig. (2-tailed) 1 .000 .000 200 200 200 .604 .000 200 Burnout Pearson Correlation -.650 1 Sig. (2-tailed) .000 200 200 Compassion Fatigue Pearson Correlation -.282 .604* Sig. (2-tailed) .000 .000 200 200 200 *Correlation is significant at the 0.01 level (2-tailed). O job satisfaction and compassion fatigue O compassion fatigue and burnout burnout and job satisfaction O based on the p-value, none of these variables are correlated
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