In: Statistics and Probability
DaughtersHeight 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 (use R studio for graphing).
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 |
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.
The regression output is:
R² | 0.675 | |||||
Adjusted R² | 0.637 | |||||
R | 0.822 | |||||
Std. Error | 1.940 | |||||
n | 20 | |||||
k | 2 | |||||
Dep. Var. | daughtersheight | |||||
ANOVA table | ||||||
Source | SS | df | MS | F | p-value | |
Regression | 132.9973 | 2 | 66.4986 | 17.67 | .0001 | |
Residual | 63.9747 | 17 | 3.7632 | |||
Total | 196.9720 | 19 | ||||
Regression output | confidence interval | |||||
variables | coefficients | std. error | t (df=17) | p-value | 95% lower | 95% upper |
Intercept | 7.4543 | |||||
mothersheight | 0.7072 | 0.1289 | 5.488 | 4.00E-05 | 0.4353 | 0.9791 |
fathersheight | 0.1636 | 0.1266 | 1.293 | .2134 | -0.1035 | 0.4307 |
The female daughter's height is related to the height of the father and/or the mother.
There is a significant relationship between the female daughter's height and the mother's height based on the Type I and Type III sum of squares.