**Section I: Linear Modeling**

** **

For this section, write an essay that addresses the answers to the questions below. Everything including calculations is to be typed. This will become section I of the final project you turn in at the end of the semester. This should be in report form (paragraph form and NOT numbered).

1. Enter your data into Excel letting x=0 represent the year 2000. Create a scatter plot and find a linear equation that models the data (add trend line in Excel). Call this equation Y_{1} and include the value. Print your graph with labeled axes, and include the graph in your report.

2. What are the units for the slope? Interpret the slope of this line for your data set.

3. Using the data values, calculate the slope between each pair of points. Calculate the average rate of change for the entire data set. (This can all be done in Excel and shown in your report—reference pg 28 of the workbook.) State the average rate of change here. How does this compare to the rate of change in your first equation?

4. Make a linear equation for your data using the average rate of change from #3 and the first point from your data set and call it Y_{2}. Show all work in your report.

5. Evaluate Y_{1} and Y_{2} when x=5 and interpret what this means in the real situation. How does this compare to the actual data in the table?

6. Evaluate Y_{1} and Y_{2} when x=10 and interpret what this means in the real situation. How does this compare to the actual data in the table?

7. Graph Y_{1} and Y_{2} on your calculator with your stat plot of the data, and compare the two graphs. Using your answers from #5 and 6 and the graphs from your calculator, which model is better? Explain your choice.

8. Do you think this data is linear? Explain your reasoning.

Subject | Mathematics |

Due By (Pacific Time) | 02/10/2015 12:00 am |

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