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Assessment: Stratification and Variance Explained, Part 2 comprehension Check In the second part of this assessment, you'll analyze a set of mother and daughter heights, also from GaltOnFamiIi es

Statistics

Assessment: Stratification and Variance Explained, Part 2

comprehension Check

In the second part of this assessment, you'll analyze a set of mother and daughter heights, also from

GaltOnFamiIi es.

Define female_heights, a set of mother and daughter heights sampled from GaltonEami1ies, as follows:

set.seed(1989) #if you are using R 3.5 or earlier set.seed(1989, #if you are using R 3.6 or later library (HistData) dataC"GaItonFami lies " )

female_heights            Gal ton Fami I i filter(gender         "female")

ungroup select(mother, chi IdHeight) rename(daughter chi dHe ight)

Calculate the mean and standard deviation of mothers' heights, the mean and standard deviation of daughters' heights, and the correlaton coefficient between mother and daughter heights.

Mean of mothers heights

64.125

64.125

 Correlation
 coefficient

Standard deviation of mothers' heights

 0.32

x

0.32

Mean of daughters' heights

x

65

Standard deviation of daughters' heights

x

Question 9

Calculate the slope and intercept of the regression line predicting daughters' heights given mothers' heights. Given an increase in mother's height by 1 inch, how many inches is the daughter's height expected to change?

Slope of regression line predicting daughters' height from mothers' heights

1.5

1.5

Intercept of regression line predicting daughters' height from mothers' heights

2

2

Change in daughter's height in inches given a 1 inch increase in the mother's height

0.5

0.5

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