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Analysis of Birth Weight and Its Association with Various Predictors: ANOVA and Multiple Regression

A study using ANOVA and multiple regression to analyze the association between birthweight and various predictors.

Benjamin Clark
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Analysis of Birth Weight and Its Association with Various Predictors: A StatisticalApproach Using ANOVA and Multiple RegressionExcel→DataAnalysis→OnewayANOVA1.PerformanANOVA,andreportonwhetheryoufoundevidencethatbirthweightcouldbeassociatedwiththeremainingvariables(possiblyomittingIDnumber).Ho:μ1=μ2=μ3=μ4Ha:NotallaresameUsingExcel,wegetAnova: SingleFactorSUMMARYGroupsCountSumAverageVarianceblack11154530.410.24educ11151367712.274.40smoke11158460.760.18gestation11154330838.847.14bwt111535897833219.54401344.84ANOVASource of VariationSSdfMSFP-valueF critBetween Groups917213182442293032956.0328566.020.002.37Within Groups447111477.1557080271.36Total96192433015574Sincep-value=0.00<0.05,itfallsrejectionregion,thenullhypothesiswouldberejectedandconcludethatthereisanevidencebirthweightcouldbeassociatedwiththeremainingvariables.2.Performamultipleregression,andreportonwhetheryoufoundevidencethatbirthweightcouldbeassociatedwiththeremainingvariables.Excel→DataAnalysis→RegressionUsingExcel,wegetSUMMARYOUTPUTRegressionStatisticsMultiple R0.726513R Square0.527821Adjusted RSquare0.526119Standard Error436.1074Observations1115ANOVA

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Subject
Statistics

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