2. Notes Over 8.6 Using Graphs to Predict Wolf Moose 1. Suppose in the year 2000 there are 28 wolves on the island. Predict how many moose would be on the island that year. 650

3. Notes Over 8.6 Using Graphs to Predict Wolf Moose 2. Suppose in the year 2003 there are 16 wolves on the island. Predict how many moose would be on the island that year. 1300

4. Notes Over 8.6 Using Graphs to Predict Wolf Moose 3. Why is there such a difference among 1987, 1995, and 2003? 16 – 1380 Trend line is an estimate, not exact. 16 – 2400 16 – 1300

5. Pg 418 8 – 6 #1 – 2, 3 – 15 The table shows the population of some states and the numbers of cars registered in those states. Use the data for Exercise 1 and 2. StatePopul.Reg Cars FL14.47.2 GA7.33.8 IL11.86.2 KS2.61.2 ME1.20.6 MS2.71.3 NV1.60.6 NY18.17.9 OH11.26.6 PA12.05.9 SC3.71.8 TN5.33.0 TX19.17.4 WA5.52.6

6. Pg 418 8 – 6 #1 – 2, 3 – 15 1. Make a scatter plot of the data. Use the population for the horizontal axis. StatePopul.Reg Cars FL14.47.2 GA7.33.8 IL11.86.2 KS2.61.2 ME1.20.6 MS2.71.3 NV1.60.6 NY18.17.9 OH11.26.6 PA12.05.9 SC3.71.8 TN5.33.0 TX19.17.4 WA5.52.6 0 4 8 12 16 20 24 12 10 8 6 4 2 0

7. Pg 418 8 – 6 #1 – 2, 3 – 15 b. Draw a trend line. StatePopul.Reg Cars FL14.47.2 GA7.33.8 IL11.86.2 KS2.61.2 ME1.20.6 MS2.71.3 NV1.60.6 NY18.17.9 OH11.26.6 PA12.05.9 SC3.71.8 TN5.33.0 TX19.17.4 WA5.52.6 0 4 8 12 16 20 24 12 10 8 6 4 2 0

8. Pg 418 8 – 6 #1 – 2, 3 – 15 c. Predict how many cars are registered by the 7.3 million people in North Carolina. StatePopul.Reg Cars FL14.47.2 GA7.33.8 IL11.86.2 KS2.61.2 ME1.20.6 MS2.71.3 NV1.60.6 NY18.17.9 OH11.26.6 PA12.05.9 SC3.71.8 TN5.33.0 TX19.17.4 WA5.52.6 0 4 8 12 16 20 24 12 10 8 6 4 2 0 3.6 million

9. Pg 418 8 – 6 #1 – 2, 3 – 15 d. Write an equation for your trend line. 0 4 8 12 16 20 24 12 10 8 6 4 2 0 b = 0 m = ½ Predict how many cars are registered by the 32.2 million people in California. 16.1 million

10. Pg 418 8 – 6 #1 – 2, 3 – 15 2. Describe the correlation between the two sets of data. 0 4 8 12 16 20 24 12 10 8 6 4 2 0 Positive Correlation

11. Pg 418 8 – 6 #1 – 2, 3 – 15