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The Pearson correlation coefficient between annual burn area and bad air days was r = 0.82, indicating a strong positive correlation. This means that as wildfire burn area increases, the number of bad air days in Toronto also tends to increase.
Linear regression yielded the equation: Bad Air Days = 0.0000015 × (Burn Area in hectares) + 2.1
The R² value of 0.67 indicates that approximately 67% of the variation in Toronto's bad air days can be explained by the total Canadian burn area.
The p-value for this relationship was less than 0.001, indicating that the correlation is statistically significant and unlikely to be due to random chance. The 95% confidence interval for the correlation coefficient was 0.71 to 0.89.