import numpy as np

inds $=$ np$.$arange$($len$($genre$\_$dummies$))$

size $=500$

bs$\_$action$\_$reps $=$ np$.$empty$($size$)$

bs$\_$adventure$\_$reps $=$ np$.$empty$($size$)$

for i in range$($size$)$:

# Resample the indices

bs$\_$inds $=...$#CODE HERE

# Get the sampled genre and sampled adjusted gross

bs$\_$genre $=$ gross$[\text{'}$genre$\text{'}][$bs$\_$inds$]$

bs$\_$gross $=......$#CODE HERE

# Convert sampled genre to dummy variables

bs$\_$dummies $=......$#CODE HERE

# Build and fit a regression model

regr $=$ LinearRegression$().$fit$($bs$\_$dummies, bs$\_$gross$)$

# Compute replicates of estimated intercept and coefficient

bs$\_$action$\_$reps$[$i$]=...$#CODE HERE

bs$\_$adventure$\_$reps$[$i$]=$ regr.coef$\_[[0]][0]$