Description Usage Arguments Value Note Author(s) Examples
The regression line is not as steep as the SD Line (line through point of averages, with slope = sd(y)/sd(x)). The difference is especially noticeable when the scatter plot is the result of a sample from a bivariate normal distribution. This app explains why we use the regression line to predict y from x, even though the SD line appears to be a better linear summary of the scatter plot. Can be used as a starting-point for a discussion of "regression to the mean."
1 | ShallowReg(n=900,rho=0.5)
|
n |
Number of points in the scatter plot. |
rho |
Target correlation for the scatter plot. Points are selected from a standardized bivariate normal distribution, with correlation rho. |
Graphical output.
Uses manipulate
, available only in R Studio, and mvrnorm
from package MASS
.
Homer White hwhite0@georgetowncollege.edu
1 2 3 4 | ## Not run:
if (require(manipulate)) ShallowReg()
## End(Not run)
|
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