- Create a scatter plot of Temperature vs. Elevation using the data you
collected above.

- Add a linear trend line (line of best fit) through the data in the scatter
plot. NOTE: A trend line will not cross every point but rather there should be
approximately the same number of points below the line as above it.
- Look the trend line. Estimate the approximate change in temperature for
every increase of 1,000m in elevation.
- If you used a spreadsheet, determine the following:
- Correlation coefficient:
- Linear regression equation:
- Based on the graph you created above and assuming all other weather
factors remained constant (same latitude, etc.), predict the
temperature for the following elevations:
- 0 m: _________ ºC
- 1000 m: _________ ºC
- 2000 m: _________ ºC
- 3000 m: _________ ºC
- 4000 m: _________ ºC
- Highest Elevation: Mt. Everest, located on the border of Nepal and Tibet,
is the world's tallest mountain with an elevation of 8848m:
- Assuming no other factors affected the temperature, what would be your
prediction for the temperature at the summit?
- The
actual temperature on the summit of Mt. Everest varies from -15 ºC to as low as -36
ºC. What might account for the differences between your prediction and the
actual temperatures? (Hint: Locate Mt. Everest on a world map)
- Lowest Elevation (not under seawater):
The Bentley Subglacial Trench
located in Antarctica has the world's lowest elevation not under seawater at
-2555m (although the trench is covered by approximately 3000m of snow and ice).
- Assuming no other factors affected the temperature, what would be your
prediction for the temperature?
- The actual temperature of the trench is significantly below 0 ºC. What
might account for the differences between your prediction and the actual
temperatures? (Hint: locate Antarctica on a world map)
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