1. The problem is to find the regression line for the scatter plot of crime rate vs. poverty rate. 2. The regression line is given by the formula $$y = mx + b$$ where $m$ is the slope and $b$ is the y-intercept. 3. To find $m$ and $b$, we use the least squares method: $$m = \frac{n\sum xy - \sum x \sum y}{n\sum x^2 - (\sum x)^2}$$ $$b = \frac{\sum y - m \sum x}{n}$$ 4. Since the exact data points are not provided, we estimate from the description: - Poverty rate ($x$) ranges mostly from 0 to 80. - Crime rate ($y$) ranges mostly from 20 to 70. - No clear linear trend, so slope $m$ is approximately 0. 5. Therefore, the regression line is approximately horizontal near the average crime rate. 6. Estimating average crime rate $b \approx 45$ (midpoint of 20 and 70). 7. Final regression line: $$y = 0 \cdot x + 45 = 45$$ This means crime rate does not significantly change with poverty rate in this data.