mentalist wants to determine the relationship between the number of fires, in th ber of acres burned, in hundreds of thousands. Based on this data, decide if th s significant at a = 0.05. hypotheses for whether there is a significant linear correlation. a scatterplot. regression equation and sample correlation coefficient, r, given by the calcula the corresponding test statistic and p-value. conlusion of the hypothesis test to find the best point estimate for the number of acres burned when x = 60 fir st point estimate. fires x 73 64 74 58 48 80 65 54 49 46 22 23 51 12 29 10
mentalist wants to determine the relationship between the number of fires, in th ber of acres burned, in hundreds of thousands. Based on this data, decide if th s significant at a = 0.05. hypotheses for whether there is a significant linear correlation. a scatterplot. regression equation and sample correlation coefficient, r, given by the calcula the corresponding test statistic and p-value. conlusion of the hypothesis test to find the best point estimate for the number of acres burned when x = 60 fir st point estimate. fires x 73 64 74 58 48 80 65 54 49 46 22 23 51 12 29 10
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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4) An environmentalist wants to determine the relationship between the number of fires, in thousands,
and the number of acres burned, in hundreds of thousands. Based on this data, decide if the
correlation is significant at a = 0.05.
a) State the hypotheses for whether there is a significant linear correlation.
b) Construct a scatterplot.
Number of fires x
Number of acres
burned y
1
1
c) Write the regression equation and sample correlation coefficient, r, given by the calculator.
d) Compute the corresponding test statistic and p-value.
e) State the conlusion of the hypothesis test
f) State how to find the best point estimate for the number of acres burned when x = 60 fires have bui
Give the best point estimate.
73 74 58 48
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80 65 54 49
64 46 22 23 51 12 29 10
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