Statistics Applied Problem Four
MS 315 POW Week 7

(This week’s data’s source: Shaikh, Abdul Sattar et al. (2013), Data from:
Anthracycline induced cardiotoxicity: prospective cohort study from Pakistan.,
Dryad, Dataset,
https://doi.org/10.5061/dryad.cg849 )
The following is a scatter plot of the data set (it is attached):

Part One
Are there any data points that are outliers? Why are they outliers?

Part Two
The correlation coefficient between these two variables is r = 0.590882
The least squares regression equation is
y = 0.029x + 20.46
Does the least squares regression equation appear to fit the data well? Why
or why not?

Part Three
What value does the least squares regression equation predict for the left ven-
tricular systolic diameter when the Anthracycline level is 200? In other words,
what does the least squares regression equation predict for y when x = 200?

Part Four
What would the least squares regression equation predict when the Anthracy-
cline level is 900? Would our prediction be reliable?