Coffee is a leading export from several developing countries. When coffee prices are high, farmers will often clear forest to plant more coffee trees. Here are data for five years of data on prices paid to farmers in Indonesia and the rate of deforestation in a national park that lies in a coffee producing region. Price (cents per pound) Deforestation (percent) 29 0.49 40 1.59 54 1.69 55 1.82 72 3.10 a) Make a scatterplot and attach to the worksheet. b) Which variable is the predictor variable? c) What kind of pattern does your scatterplot show? d) Use R to find the mean and standard deviation of the x and y variables. e) Compute the correlation coefficient by hand. f) Using your answer from e, categorize the relationship as strong, moderate, or weak.
Coffee is a leading export from several developing countries. When coffee prices are high, farmers will often clear forest to plant more coffee trees. Here are data for five years of data on prices paid to farmers in Indonesia and the rate of deforestation in a national park that lies in a coffee producing region. Price (cents per pound) Deforestation (percent) 29 0.49 40 1.59 54 1.69 55 1.82 72 3.10 a) Make a scatterplot and attach to the worksheet. b) Which variable is the predictor variable? c) What kind of pattern does your scatterplot show? d) Use R to find the mean and standard deviation of the x and y variables. e) Compute the correlation coefficient by hand. f) Using your answer from e, categorize the relationship as strong, moderate, or weak.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Transcribed Image Text:Coffee is a leading export from several developing countries. When coffee prices are high, farmers will often
clear forest to plant more coffee trees. Here are data for five years of data on prices paid to farmers in
Indonesia and the rate of deforestation in a national park that lies in a coffee producing region.
Price (cents per pound) Deforestation (percent)
29
0.49
40
1.59
54
1.69
55
1.82
72
3.10
Make a scatterplot and attach to the worksheet.
b)
Which variable is the predictor variable?
c)
What kind of pattern does your scatterplot show?
d)
Use R to find the mean and standard deviation of the x and y variables.
e)
Compute the correlation coefficient by hand.
f)
Using your answer from e, categorize the relationship as strong, moderate, or weak.
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