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3. I suspect that hours worked would predict happiness. This is a regression between hours worked and happiness. a. Is there support for the research

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3. I suspect that hours worked would predict happiness. This is a regression between hours worked and happiness. a. Is there support for the research prediction. Interpret in A. P. A style Regression Coefficients Descriptive Statistics Standardized Unstandardized Coefficients Coefficients 95.0% Confidence Interval for B Mear Std. Deviation Model B Std. Error Beta sig. Lower Bound Upper Bound (Constant) 15.620 9.719 1.607 .112 -3.713 34.954 Hours_Worked 27.4881 17.11724 84 Happiness_ 3.734 3.001 .136 1.244 .217 -2.236 9.704 Happiness_ 3.18 .624 84 . Dependent Variable: Hours_Worked Residuals Statistics Correlations Minimum Maximum Mean Std. Deviation Hours_Worked Happiness_ Predicted Value 19.3540 30.5551 27.4881 2.32995 Residual -30.55507 43.17864 .00000 16.95792 Pearson Correlation Hours_Worked 1.000 .136 Sid. Predicted Value -3.491 1.316 .000 1.000 Happiness_ .136 1.000 Std. Residual -1.791 2.531 .000 .994 a. Dependent Variable: Hours_Worked Sig. (1-tailed) Hours_Worked .108 Happiness_ 108 Charts N Hours_Worked 84 84 Happiness 84 84 Histogram Regression Standardized Residual Normal P-P Plot of Regression Standardized Residual 1.0 Dependent Variable: Hours_Worked Histogram Dependent Variable: Hours_Worked 0.8 ed. Dev. - 0.934 0.5 15 Expected Cum Prob Frequency 0.2 0.2 0.4 0.6 0.8 1.0 Observed Cum Prob -1 Regression Standardized ResidualI was able to get the data and all the charts for each. I am not sure how to interpret it. Can someone please help me. Thank you. Correlation, Regression, Chi-Square (Goodness of Fit) 1. I suspect that the Big Five (OCEAN) personality factors are equally likely to occur among a given population. That is, there is no difference in the occurrence of each of the personality factors. a chi-square goodness of fit test was conducted. a. Is there support for the research prediction. Interpret in A. P. A style Descriptive Statistics Mean Std. Deviation Minimum Maximum Personality_Types 3.61 1.246 1 Chi-Square Test Frequencies Personality_Types Observed N Expected N Residual Openness 58 -94.0 Conscientiousness 152.0 Extraversion 177 152.0 Agreeable 200 152.0 48.0 Neuroticism 235 152.0 830 Total 760 Test Statistics Personality_Ty Chi-Square 148.013 2 df Asymp. Sig. <.001 a. cells have expected frequencies less than the cell frequency is i suspect that there a positive relationship between age and happiness numbers mean more support for research prediction. interpret in p. style correlations happiness_ pearson correlation .217 sig. significant at level>

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