The image you uploaded shows a worksheet that involves calculating the rate of change and using it to make predictions. Based on what I can see, the tasks involve:

1. Calculating the rate of change from given data points in a table, likely representing vehicle counts or other units over years.
2. Using the rate of change to fill in missing values for future years.

Here’s a breakdown of the steps:

1. Rate of Change Calculation: The rate of change formula is generally $\text{Rate of Change} = \frac{\text{Change in Y}}{\text{Change in X}}$, where $Y$ might represent vehicle count and $X$ the number of years.

2. Applying the Rate of Change: Once the rate of change is determined, it can be applied to extrapolate or predict values for other years by using the formula: $\text{Predicted Value} = \text{Initial Value} + (\text{Rate of Change} \times \text{Number of Years Ahead})$

Let me know if you need a detailed calculation for any specific part of the image.

Would you like a step-by-step solution, or do you have any questions?

Here are some questions that build on this material:

1. How do you interpret the rate of change in real-world scenarios?
2. What might cause the rate of change to fluctuate in similar datasets?
3. Can rate of change be used for predicting nonlinear data, and if so, how?
4. How can the accuracy of predictions using rate of change be improved?
5. What are the limitations of using linear models for prediction?

Tip: When working with rate of change, always verify that the data points you use are close enough to make a linear assumption reasonable.