FACTORS AFFECTING GPAPowerPoint PresentationDEMOGRAPHICSSlide 4Slide 5Slide 6SCHOOLSlide 8Slide 9Slide 10Slide 11Slide 12OUTSIDE SCHOOLSlide 14Slide 15Slide 16CORRELATIONREGRESSIONSlide 19Slide 20Slide 21Slide 22FACTORS AFFECTING FACTORS AFFECTING GPAGPACamille LegaspiRaphielle PerezAllison RemigioJuly SengsouryaDemographicsAge, Gender, Marital Status, Children, Living Situation, & CommuteSchool GPA, Units, Study Time, Motivation, Importance of High GPA, & Post-Graduate PlansOutside SchoolExtracurricular Activities & WorkSURVEYSURVEYDEMOGRAPHICSDEMOGRAPHICSMarital Status Children020406080100Single Married020406080100Yes NoDEMOGRAPHICSDEMOGRAPHICSAge GenderDEMOGRAPHICSDEMOGRAPHICSLiving SituationDEMOGRAPHICSDEMOGRAPHICSCommuteSCHOOLSCHOOLGPAGPA020406080NoAnswer0>.8 .8>1.61.6>2.42.4>3.23.2>4.0Ranges in GPAFrequencySCHOOLSCHOOLNumber of UnitsSCHOOLSCHOOLHours Spent StudyingSCHOOLSCHOOLMotivationSCHOOLSCHOOLImportance of High GPASCHOOLSCHOOLPost-Graduate PlansOUTSIDE SCHOOLOUTSIDE SCHOOLParticipation in Extracurricular ActivitiesOUTSIDE SCHOOLOUTSIDE SCHOOLHours Spent on Extracurricular ActivitiesHours of Activity0204060801000>8 8>16 16>24 24>32 32>40Range in Number of HoursFrequencyOUTSIDE SCHOOLOUTSIDE SCHOOLEmploymentOUTSIDE SCHOOLOUTSIDE SCHOOLHours Worked in a WeekCORRELATIONCORRELATIONGPA vs. Hours Spent Studyingy = 0.3318x + 11.6230510152025303540450.00 1.00 2.00 3.00 4.00 5.00REGRESSIONREGRESSIONGPA vs. Hours Spent StudyingSUMMARY OUTPUTRegression StatisticsMultiple R 0.01905682R Square 0.00036316Adjusted R Square-0.01027127Standard Error7.6400027Observations 96ANOVAdf SS MS F Significance FRegression 1 1.99330473 1.99330473 0.03414968 0.85378691Residual 94 5486.74628 58.3696413Total 95 5488.73958CoefficientsStandard Errort Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept 11.6227517 5.42350738 2.14303234 0.03469282 0.85425094 22.3912525 0.85425094 22.3912525X Variable 1 0.33175093 1.79522469 0.18479633 0.85378691 -3.23270969 3.89621155 -3.23270969 3.89621155CORRELATIONCORRELATIONGPA vs. Commutey = 0.0263x + 23.63701020304050607080900.00 1.00 2.00 3.00 4.00 5.00REGRESSIONREGRESSIONGPA vs. CommuteSUMMARY OUTPUTRegression StatisticsMultiple R 0.00089039R Square 7.9279E-07Adjusted R Square-0.01388809Standard Error14.2453837Observations 74ANOVAdf SS MS F Significance FRegression 1 0.01158348 0.01158348 5.7081E-05 0.99399278Residual 72 14611.029 202.930958Total 73 14611.0405CoefficientsStandard Errort Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept 23.637403 10.5622903 2.23790506 0.02832137 2.58186232 44.6929437 2.58186232 44.6929437X Variable 1 0.02634227 3.48664555 0.00755519 0.99399278 -6.92415851 6.97684304 -6.92415851 6.97684304CORRELATIONCORRELATIONGPA vs. Work HoursGPA vs Work Hoursy = -1.8322x + 23.8140102030405060700 0.5 1 1.5 2 2.5 3 3.5 4 4.5REGRESSIONREGRESSIONGPA vs. Hours WorkedSUMMARY OUTPUTRegression StatisticsMultiple R 0.088790471R Square 0.007883748Adjusted R Square -0.002239887Standard Error 13.79177227Observations 100ANOVAdf SS MS F Significance FRegression 1 148.1277363 148.1277363 0.778747 0.379684197Residual 98 18640.87226 190.2129823Total 99 18789Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept 23.81368975 6.177336641 3.855009227 0.000207 11.55496646 36.07241304 11.55496646 36.07241304X Variable 1 -1.832243631 2.076276101 -0.882466272 0.379684 -5.952545902 2.28805864 -5.952545902