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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

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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
  ___ 
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