The graph at the left is a scatter plot with 35 points, each representing the population of a city and the number of auto thefts in that city, per person, per year. All 35 measurements were made in the year 2010, counting the number of auto thefts during the year and the number of residents in each city as of January 1, 2010. The dashed line runs through points (0,0) and (35,1200).

Use the drop-down menus to fill in the blanks in each of the following statements based on the information given by the graph.

If a city had no more than 20 auto thefts per 1,000 people, it had a population of no more than people.

The dashed line has a slope that is the slope of the regression line.

According to this chart, a city with more than 10 auto thefts per 1,000 people is to have a population of at least 600,000 people.

If a city had no more than 20 auto thefts per 1,000 people, it had a population of no more than 1,000,000 people.
• With the 20 thefts per 1,000 gridline as the right-hand border for your search, you can see that the highest data point to the left of that line is just below 1,000,000.
The dashed line has a slope that is greater than the slope of the regression line.
• The dashed line starts below the regression line and ends above it, proving its steeper (and therefore greater) slope.
According to this chart, a city with more than 10 auto thefts per 1,000 people is more likely to have a population of at least 600,000 people.
• Looking the to the right of the 10 thefts-per-thousand line, you can see that more data points exist above the 600,000 line than below it.