SE of the slope
The previous exercise generated 10 different slopes under a model of no (i.e., null) relationship between the explanatory and response variables. Now repeat the null slope calculations 1000 times to derive a null sampling distribution for the slope coefficient. The null sampling distribution will be used as a benchmark against which to compare the original data. Then, you'll calculate the mean and standard deviation of the null sampling distribution for the slope.
This exercise is part of the course
Inference for Linear Regression in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Simulate 500 slopes with a permuted dataset
perm_slope <- twins %>%
# Specify Foster vs. Biological
___ %>%
# Use a null hypothesis of independence
___ %>%
# Generate 500 permutation replicates
___ %>%
# Calculate the slope statistic
___