The height (in cm) and weight (in lbs) of 15 randomlyselected baseball players are shown in the table below.heightweight762127622472180742107521571200772357823577194761857218072170752207422873210(This data set is also available on Desmos.com or as ane Excel file. D [+]Assume we want to do a regression analysis.i. Find the correlation coefficient. Round your answer tofour decimal places.r= 0.60:ii. Does it actually make sense to use the line forpredictions? Do a hypothesis test with a=0.05 and explainyour answer. You may want to reference a e CriticalValues Table [+] (there is also one in your textbook).iii. What percent of the variation in weight can beexplained by variation in height?About% of the variation in weight can beexplained by variation in height. Give your answeras a whole number.iv. Find the equation for the regression line. (Please do thiseven if it does not make sense to use the line forpredictions.) Round your answers to one decimal place.y =

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Description: The height (in cm) and weight (in lbs) of 15 randomlyselected baseball players are shown in the table below.heightweight762127622472180742107521571200772357823577194761857218072170752207422873210(This data set is also available on Desmos.com or as a

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The height (in cm) and weight (in lbs) of 15 randomly selected baseball players are shown in the table below. height weight 76 212 76 224 72 180 74 210 75 215 71 200 77 235 78 235 77 194 76 185

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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Question

The height (in cm) and weight (in lbs) of 15 randomly
selected baseball players are shown in the table below.
height
weight
76
212
76
224
72
180
74
210
75
215
71
200
77
235
78
235
77
194
76
185
72
180
72
170
75
220
74
228
73
210
(This data set is also available on Desmos.com or as an
e Excel file. D [+]
Assume we want to do a regression analysis.
i. Find the correlation coefficient. Round your answer to
four decimal places.
r= 0.60:
ii. Does it actually make sense to use the line for
predictions? Do a hypothesis test with a=0.05 and explain
your answer. You may want to reference a e Critical
Values Table [+] (there is also one in your textbook).
iii. What percent of the variation in weight can be
explained by variation in height?
About
% of the variation in weight can be
explained by variation in height. Give your answer
as a whole number.
iv. Find the equation for the regression line. (Please do this
even if it does not make sense to use the line for
predictions.) Round your answers to one decimal place.
y =

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