Statistical Rethinking 2026: Lecture A05
Solutions to the homework assignment.
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R '%3e%3cg%20transform='matrix(2.62,0,0,2.62,5476.682446,2950.142713)'%3e%3cg%20transform='matrix(1,0,0,1,-50,-50)'%3e%3cg%20transform='matrix(4.166667,0,0,4.166667,0,0)'%3e%3cpath%20d='M9.86,2C8.291,2%207,3.291%207,4.86L7,6.54L11.29,6.54C11.68,6.54%2012,7.11%2012,7.5L4.86,7.5C3.291,7.5%202,8.791%202,10.36L2,14.141C2,15.71%203.291,17.001%204.86,17.001L6.04,17.001L6.04,14.321C6.04,14.318%206.04,14.314%206.04,14.311C6.04,12.748%207.327,11.461%208.89,11.461C8.89,11.461%2014.14,11.461%2014.14,11.461C15.72,11.461%2017,10.19%2017,8.61L17,4.86C17,3.291%2015.709,2%2014.14,2L9.86,2ZM9.14,3.61C9.54,3.61%209.86,3.73%209.86,4.32C9.86,4.91%209.54,5.211%209.14,5.211C8.75,5.211%208.43,4.911%208.43,4.321C8.43,3.731%208.75,3.61%209.14,3.61'%20style='fill:rgb(106,106,106);fill-rule:nonzero;'/%3e%3c/g%3e%3cg%20transform='matrix(4.166667,0,0,4.166667,0,0)'%3e%3cpath%20d='M17.959,7L17.959,9.68C17.959,9.683%2017.959,9.686%2017.959,9.689C17.959,11.252%2016.672,12.539%2015.109,12.539C15.109,12.539%209.86,12.539%209.86,12.539C9.857,12.539%209.853,12.539%209.85,12.539C8.287,12.539%207,13.826%207,15.389C7,15.389%207,19.139%207,19.139C7,20.708%208.291,21.999%209.86,21.999L14.14,21.999C15.709,21.999%2016.999,20.709%2017,19.14L17,17.46L12.709,17.46C12.319,17.46%2012,16.89%2012,16.5L19.14,16.5C20.709,16.5%2022,15.209%2022,13.64L22,9.86C22,8.291%2020.709,7%2019.14,7L17.959,7ZM8.32,11.513L8.316,11.517L8.354,11.513L8.32,11.513ZM14.86,18.789C15.25,18.789%2015.57,19.089%2015.57,19.679C15.57,20.068%2015.249,20.389%2014.86,20.389C14.46,20.389%2014.14,20.269%2014.14,19.679C14.14,19.089%2014.46,18.789%2014.86,18.789'%20style='fill:rgb(153,153,153);fill-rule:nonzero;'/%3e%3c/g%3e%3c/g%3e%3c/g%3e%3c/g%3e%3c/svg%3e){kind=small}
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Julia The fifth section from the beginner section is continues introducing Bayesian workflow while working with the Howell1 data set.
This time, it’s about fitting both a total effect and a direct effect model for sex, and comparing how they differ. We also compare how the subsample of children differs from teens and adults, which Richard McElreath’s analysis in the video lecture focused on.