The data set hemorrhage.sav contains a sample of 100 low birth weight infants born in Boston, Massachusetts. Germinal matrix hemorrhage (gmh) is a dichotomos variable that coded as 1 if the baby had a hemorrhage and 0 if the baby did not have a hemorrhage. You wish to know if head circumference, systolic blood pressure (sbp), and gender predicts hemorrhage. (See the attached Image) Determine the significance of the independent variables in the model, provide the test statistics and p-values to support your response. Omnibus Tests of Model CoefficientsChi-squaredfSig.Step 1 Step13.6393.003Block13.6393.003Model13.6393.003Model Summary-2 LoglikelihoodCox & Snell RSquareNagelkerkeR SquareStep180.640.127.209a. Estimation terminated at iteration number 5because parameter estimates changed by lessthan .001.Hosmer and Lemeshow TestStep Chi-squaredfSig.13.6708.886Variables in the Equation95% C.I.for EXP(B)WalddfLowerUpperBS.E.Sig.Exp(B)Step 1 head circurmference-.164.1241.7531.186.849.6661.082systolic blood pressure.0303.322.948.894-.0541.0681.004baby's gender(1)1.186.6353.4921..0623.275.94411.368Constant4.3772.9732.1671..14179.617a. Variable(s) entered on step 1: head circurmference, systolic blood pressure, baby's gender.Male = 1Female=0%3D

Here from the Omnibus tests of Model Coefficients, the chi-square is significant (chi-square=13.639,…

The data set hemorrhage.sav contains a sample of 100 low birth weight infants born in Boston, Massachusetts. Germinal matrix hemorrhage (gmh) is a dichotomos variable that coded as 1 if the baby had a hemorrhage and 0 if the baby did not have a hemorrhage. You wish to know if head circumference, systolic blood pressure (sbp), and gender predicts hemorrhage. (See the attached Image) Determine the significance of the independent variables in the model, provide the test statistics and p-values to support your response.

The data set hemorrhage.sav contains a sample of 100 low birth weight infants born in Boston, Massachusetts. Germinal matrix hemorrhage (gmh) is a dichotomos variable that coded as 1 if the baby had a hemorrhage and 0 if the baby did not have a hemorrhage. You wish to know if head circumference, systolic blood pressure (sbp), and gender predicts hemorrhage. (See the attached Image) Determine the significance of the independent variables in the model, provide the test statistics and p-values to support your response.

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter6: Exponential And Logarithmic Functions

Section6.8: Fitting Exponential Models To Data

Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...

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