Question

# DaughtersHeight.sav  is a data set on the height of adult daughters and the heights of their mothers...

DaughtersHeight.sav  is a data set on the height of adult daughters and the heights of their mothers and fathers, all in inches. The data were extracted from the US Department of Health and Human Services, Third National Health and Nutrition Examination Survey? Analyze these data with child height as the dependent variable. What can you conclude? Can female daughter height be related to the height of the father and/or the mother? Conduct a separate analysis with Type I and Type III sum of squares to examine whether any major conclusions rest on correlated explanatory variables. I need to understand the results of this data, is it possible to elaborate on the results and answer each question, please?

 Gender daughtersheight mothersheight fathersheight F 58.6 63 64 F 64.7 67 65 F 65.3 64 67 F 61 60 72 F 65.4 65 72 F 67.4 67 72 F 60.9 59 67 F 63.1 60 71 F 60 58 66 F 71.1 72 75 F 62.2 63 69 F 67.2 67 70 F 63.4 62 69 F 68.4 69 62 F 62.2 63 66 F 64.7 64 76 F 59.6 63 69 F 61 64 68 F 64 60 66 F 65.4 65 68

 SUMMARY OUTPUT Regression Statistics Multiple R 0.821711 R Square 0.675209 Adjusted R Square 0.636998 Standard Error 1.939902 Observations 20
 ANOVA df SS MS F Significance F Regression 2 132.9973 66.49864 17.67068 0.0000 Residual 17 63.97472 3.763219 Total 19 196.972
 Coefficients Standard Error t Stat P-value Intercept 7.454305 10.88037 mothersheight 0.707206 0.128858 5.488247 0.0000 fathersheight 0.163629 0.12659 1.292586 0.213448

from anova , p value < 0.05

daughter's height is related to mother's and/ or father's height

........

and p avlue for mother's height coefficient test,

p value = 0.0000 < 0.05

so there is significant relationship between daughter's height and mother's height

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