Researchers initiated a long-term study of the population of American black bears. One aspect of the study was to develop a model that could be used to predict a bear's weight (since it is not practical to weigh bears in the field). One variablethought to be related to weight is the length of the bear. The accompanying data represent the lengths and weights of 12 American black bears. Complete parts (a) through (d) below.Click the icon to view the data table.Click the icon to view the critical values table.(a) Which variable is the explanatory variable based on the goals of the research?A. The weight of the bearB. The number of bearsC. The length of the bear(b) Draw a scatter diagram of the data. Choose the correct graph below.O A.В.С.D.AWeight (kg)180-A Weight (kg)180-AWeight (kg)180-ALength (cm)180-40-10040-10040-10040-100200200200200Length (cm)Length (cm)Length (cm)Weight (kg)(c) Determine the linear correlation coefficient between weight and length.The linear correlation coefficient between weight and length is r=(Round to three decimal places as needed.)(d) Does a linear relation exist between the weight of the bear and its length?The variables weight of the bear and length of the bear areassociated because r isand the absolute value of the correlation coefficient,isthan the critical value,(Round to three decimal places as needed.) Data tablecritical values for the correlation coefficientCritical Values for Correlation CoefficientTotal Length (cm)Weight (kg)138.011030.997135.06040.9500.878139.0900.811120.56070.754149.0858.0.707141.01059.0.66610 0.63211 0.60212 0.57613 0.55314 0.53215 0.51416 0.49717 0.48218 0.46819 0.45620 0.44421 0.43322 0.42323 0.41324 0.40425 0.39626 0.38827 0.38128 0.37429 0.36730 0.361141.095150.085166.0155151.5140129.5105150.0110PrintDoneThe linear correlation coefficient between weight and(Round to three decimal places as needed.)(d) Does a linear relation exist between the weight oThe variables weight of the bear and length of the b(Round to three decimal places as needed.)Click to select your answer(s).PrintDone

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Regression measures association between explanatory variable and response variable, when we use one…

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Researchers initiated a long-term study of the population of American black bears. One aspect of the study was to develop a model that could be used to predict a bear's weight (since it is not practical to weigh bears in t thought to be related to weight is the length of the bear. The accompanying data represent the lengths and weights of 12 American black bears. Complete parts (a) through (d) below. | Click the icon to view the data table. E Click the icon to view the critical values table. (a) Which variable is the explanatory variable based on the goals of the research? O A. The weight of the bear O B. The number of bears OC. The length of the bear (b) Draw a scatter diagram of the data. Choose the correct graph below. O A. OB. Oc. OD. AWeight (kg) 180- AWeight (kg) 180- Q AWeight (kg) 180- ALength (cm) 180- .... - -- .. 40+ 100 200 Length (cm) 40+ 100 200 Length (cm) 40- 100 Length (cm) 40+ 100 200 200 Weight (kg) (c) Determine the linear correlation coefficient between weight and length. The linear correlation coefficient between weight and length is r=D: (Round to three decimal places as needed.)

Researchers initiated a long-term study of the population of American black bears. One aspect of the study was to develop a model that could be used to predict a bear's weight (since it is not practical to weigh bears in t thought to be related to weight is the length of the bear. The accompanying data represent the lengths and weights of 12 American black bears. Complete parts (a) through (d) below. | Click the icon to view the data table. E Click the icon to view the critical values table. (a) Which variable is the explanatory variable based on the goals of the research? O A. The weight of the bear O B. The number of bears OC. The length of the bear (b) Draw a scatter diagram of the data. Choose the correct graph below. O A. OB. Oc. OD. AWeight (kg) 180- AWeight (kg) 180- Q AWeight (kg) 180- ALength (cm) 180- .... - -- .. 40+ 100 200 Length (cm) 40+ 100 200 Length (cm) 40- 100 Length (cm) 40+ 100 200 200 Weight (kg) (c) Determine the linear correlation coefficient between weight and length. The linear correlation coefficient between weight and length is r=D: (Round to three decimal places as needed.)

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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