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The first step is to enter the data points in the calculator. We can do this by pressing STAT and then choose the first alternative, Edit, in the menu that is presented to us.
File:Solution31118 2.svg
Using the keypad, we enter our data set into the first two lists. The first lists holds the latitude, and the second list the average temperature.
Once the values are entered, we can perform a linear regression. Press STAT and then use the keypad to choose the menu CALC. Here you have all available types of regressions the calculator can carry out.
File:Solution31118 4.svg
By choosing the fourth option, LinReg ax+b, the calculator calculate a linear regression on our data set.
File:Solution31118 6.svg
The linear regression is y=-0.5x+78.7. A slope of - 0.5 means that for every 1 degree that the latitude increases, the average temperature falls by 0.5^(∘) Fahrenheit.
The average temperature in Piggs Peak is about 65.7^(∘). This is not far of from 65.3^(∘) which is the actual temperature of Piggs Peak. Notice that the line of best fit only gives approximate answers. Thus, for each predicted value, one can expect the actual value to be slightly off.
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Finally, by pressing GRAPH we can plot our values.
File:Solution31118 12.svg
If we did a similar scatter plot for the northern hemisphere, it is safe to assume that we would see a negative correlation between the latitude and average temperature as well. However, the scatter plot would likely have a steeper slope as the general climate on the northern hemisphere is colder.