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You were given a dataset that includes 100 datapoints for expenses in Canadian dollars and waste in kolo grams. Based on the data you were able to calculate the following: The variance of the expenses = 78515151.52, The variance of the waste amount 14602.38, The R squared 0372460641, Intercept = cS 340463765, Total waste amount = 54420 kg Then the slope of the regression line is (approximately) O a 44.75124 O b. 54420 Oc 5840 Od 3404637

You were given a dataset that includes 100 datapoints for expenses in Canadian dollars and waste in kolo grams. Based on the data you were able to calculate the following: The variance of the expenses = 78515151.52, The variance of the waste amount 14602.38, The R squared 0372460641, Intercept = cS 340463765, Total waste amount = 54420 kg Then the slope of the regression line is (approximately) O a 44.75124 O b. 54420 Oc 5840 Od 3404637

MATLAB: An Introduction with Applications
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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You were given a dataset that includes 100 datapoints for expenses in Canadian dollars and waste in kilo grams. Based on the data you were able to calculate the following: The variance of the expenses = 78515151.52 The variance of the waste amount 14602.38, The R squared = 0.372460641, Intercept = cS 34046.3765, Total waste amount = 54420 kg ion Then the slope of the regression line is (approximately) O a 44,75124 O b. 54.420 Oc 5840 Od. 34.04637
Transcribed Image Text:You were given a dataset that includes 100 datapoints for expenses in Canadian dollars and waste in kilo grams. Based on the data you were able to calculate the following: The variance of the expenses = 78515151.52 The variance of the waste amount 14602.38, The R squared = 0.372460641, Intercept = cS 34046.3765, Total waste amount = 54420 kg ion Then the slope of the regression line is (approximately) O a 44,75124 O b. 54.420 Oc 5840 Od. 34.04637
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