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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.

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Inference for Linear Regression in R

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# 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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