| term | estimate | conf.int |
|---|---|---|
| (Intercept) | 0.018 | -0.02, 0.056 |
| speed_2d | 0.007 | -0.044, 0.059 |
| altitude | 0.030 | -0.007, 0.068 |
| direction | -0.059 | -0.096, -0.021 |
Model
Linear Regression Model \[ y = \beta_0 + \beta_1 \cdot \text{speed\_2d} + \beta_2 \cdot \text{altitude} + \beta_3 \cdot \text{direction} \]
Fitted \[ \hat{y} = 0.018 + 0.007 \cdot \text{speed\_2d} + 0.030 \cdot \text{altitude} - 0.059 \cdot \text{direction} \]
Statistics
This linear regression model predicts wildfire proximity relative to a bird using speed, altutude, and direction predictors. The direction term when increased by 1 unit decreases the wildfire proximity by 0.059, with a 95% confidence interval between -0.096 and -0.021. The confidence interval does not pass through 0, making this term significant.