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

Definefemale_heights, a set of mother and daughter heights sampled fromGaltonFamilies, as follows:

set.seed(1989) #if you are using R 3.5 or earlier set.seed(1989, sample.kind="Rounding") #if you are using R 3.6 or later library(HistData) data("GaltonFamilies") female_heights <- GaltonFamilies%>% filter(gender == "female") %>% group_by(family) %>% sample_n(1) %>% ungroup() %>% select(mother, childHeight) %>% rename(daughter = childHeight) 

Question 8

0.0/5.0 points (graded)

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

incorrect

63

Standard deviation of mothers' heights

incorrect

2.04124472

Mean of daughters' heights

incorrect

65

Standard deviation of daughters' heights

incorrect

3.209361307

Correlation coefficient

incorrect

0.74

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Question 9

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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

unanswered

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

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

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Question 10

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What percent of the variability in daughter heights is explained by the mother's height?

Report your answer as a value between 0 and 100.

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Question 11

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A mother has a height of 60 inches.

What is the conditional expected value of her daughter's height given the mother's height?