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Exercise

Covariate adjustment with chick growth

Imagine studying in agricultural science the growth patterns of chicks under various dietary regimens. The data from this study sheds light on the intricate relationship between their respective diets and the consequent impact on their weight. This data includes weight measurements of chicks at different ages, allowing for an exploration of covariate adjustment. age serves as a covariate, potentially influencing the outcome variable: the weight of the chicks.

DataFrames exp_chick_data, the experimental data, and cov_chick_data, the covariate data, have been loaded, along with the following libraries:

import pandas as pd
import numpy as np
from statsmodels.formula.api import ols
import seaborn as sns
import matplotlib.pyplot as plt

Instructions 1/3

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  • Join the experimental and covariate data based on common column(s), and print this merged data.