There appears to be a problem with one of your contact methods. Please check your Settings Enter the following table into your calculator or the Desmos Grapher and create the scatterplot. 2 60 33 2,100 36 2,860 49 14,440 65 10,560 79 567,860 79 570,560
There appears to be a problem with one of your contact methods. Please check your Settings Enter the following table into your calculator or the Desmos Grapher and create the scatterplot. 2 60 33 2,100 36 2,860 49 14,440 65 10,560 79 567,860 79 570,560
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

Transcribed Image Text:There appears to be a problem with one of your
contact methods. Please check your SettingS
Enter the following table into your calculator or
the Desmos Grapher and create the
scatterplot.
X
2
60
33
2,100
36
2,860
49 14,440
65 10,560
79 567,860
79 570,560
97 2,238,200
95 3,674,760
98 5282120
1. Is there a correlation for the data? If so, is it
strong or weak?
2. What shape of function does the scatterplot
show?
3. Use your calculator or the Desmos Grapher
to find the equation for the line/curve of best
fit. Now, use the equation editor to give the
equation for the line/curve of best fit.
4. Determine if this equation is a good
predictor of the data, using the appropriate
number as proof/reasoning.
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