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Interpreting a heatmap

Which of the below statements is correct regarding the relationships between variables in the divorce DataFrame?

The divorce DataFrame has been loaded for you so that you can explore it in the shell. pandas has been loaded as pd, matplotlib.pyplot has been loaded as plt, and Seaborn has been loaded as sns.

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marriage_duration is strongly positively correlated with marriage_month.

The correlation between num_kids and income_man is stronger than the correlation between num_kids and marriage_duration.

A later marriage_year causes a lower number of children, represented by num_kids.

A later marriage_year is correlated with having fewer children.

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