1. Some handy tips!

2. The slope will have some meaning that will be used to determine a quantitative answer to the lab’s purpose (sometimes it’s the inverse of the slope that will answer the purpose) As with any measured or calculated value, we need to determine the uncertainty. What was done to get the uncertainty for an averaged value? Find half the range of the data values

3. Slope  essentially an average ratio of the y value to the x value based on the data plotted What feature on your graph can help you determine the maximum and minimum possible slopes? Use the error bars to estimate the possible range. What’s that? You want to know how? Glad you asked!

4. Use the first and last data point that fall close to or on the best-fit line.

5. We want to add a line that will extend from the lowest possible data point, based on the error bars, to the highest possible data point, based on the error bars.

6. In the menu bar, select ANALYZE  CURVE FIT

7. Right click on the Manual fit information box, and select “Linear Fit Options…” Select “Enable Line Drag” and make sure the y- intercept will appear on your graph.