Essay On Summary Outputregression Statisticsmultiple R

Essay About Introductionthe Analysis Of Event Attendance Rates And Highest Attendance Rate
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The Analysis of Event Attendance RatesEssay Preview: The Analysis of Event Attendance RatesReport this essayIntroductionThe analysis of event attendance rates can play a great role in improving the level of preparedness by counties and business for such events.  There is a competitive advantage for event organizers and participants while the local authorities can also benefit.

Essay About Summary Outputregression Statisticsmultiple R And Β0
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Statistic Essay Preview: Statistic Report this essay SUMMARY OUTPUTRegression StatisticsMultiple R0.5992984R Square0.3591586Adjusted R Square0.3430165Standard Error0.0440354Observations408ANOVA dfSSMSFSignificance FRegression100.43140.043122.24985.12098E-33Residual3970.76980.0019Total4071.2013    CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Intercept0.12570.06581.91010.0568-0.00370.2550D/P0.03480.02921.19110.2343-0.02260.0922E/P0.05130.02492.06350.03970.00240.1002b/m-0.16900.0380-4.44300.0000-0.2437-0.0942ntis0.05090.13590.37450.7083-0.21640.3182LIQUIDITY-0.33960.0376-9.03410.0000-0.4135-0.2657tbl-0.00710.1778-0.04010.9681-0.35670.3425lty0.18330.27000.67880.4977-0.34760.7142DFY7.59021.05597.18860.00005.51449.6660infl-2.22210.7056-3.14910.0018-3.6093-0.8349IP1.43140.81211.76250.0788-0.16523.0280Volatility = β0+β1 (D/Pi) +β2 (E/Pi) + β3 (b/mi) + β4 (ntisi) + β5 (LIQUIDITYi) + β6 (tbli) + β7 (ltyi) + β8 (DFYi) + β9 (infli) + β10 (IPi)We assess the fitness of the model in three.

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