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You are interested in the relationship between housing affordability, environmental toxins, and environmental illnesses, such as cancer and asthma. You collect data on 100 different

You are interested in the relationship between housing affordability, environmental toxins, and environmental illnesses, such as cancer and asthma. You collect data on 100 different houses in 100 towns and cities. The following table shows the bivariate correlation (Pearson's r) for each combination of variables: A Correlation Matrix: Environmental Toxins, Housing Costs, and Asthma Rate 1 2 3 Environmental Toxins Housing Costs Asthma Rate 1. Environmental toxins 1 -0.803 0.980 2. Housing costs -0.803 1 -0.889 3. Asthma rate 0.980 -0.889 1 Correlation matrices are very useful because they summarize the relationship between multiple variables, allowing you to look at multiple relationships simultaneously. You will find a correlation matrix in most research papers. To orient yourself, first, find the correlation coefficient between environmental toxins and housing costs, which is

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