The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a ches size of 51 inches. Is the result close to the actual weight of 595 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r 47 46 49 50 38 487 496 546 518 397 48 D 510 What is the regression equation? ŷ-x (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 51 inches? The best predicted weight for a bear with a chest size of 51 inches is pounds (Round to one decimal place as needed.) is the result close to the actual weight of 595 pounds? OA. This result is close to the actual weight of the bear OB. This result is exactly the same as the actual weight of the bear OC. This result is very close to the actual weight of the bear OD. This result is not very close to the actual weight of the bear
The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a ches size of 51 inches. Is the result close to the actual weight of 595 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r 47 46 49 50 38 487 496 546 518 397 48 D 510 What is the regression equation? ŷ-x (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 51 inches? The best predicted weight for a bear with a chest size of 51 inches is pounds (Round to one decimal place as needed.) is the result close to the actual weight of 595 pounds? OA. This result is close to the actual weight of the bear OB. This result is exactly the same as the actual weight of the bear OC. This result is very close to the actual weight of the bear OD. This result is not very close to the actual weight of the bear
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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Transcribed Image Text:The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest
size of 51 inches. Is the result close to the actual weight of 595 pounds? Use a significance level of 0.05.
Chest size (inches)
Weight (pounds)
Click the icon to view the critical values of the Pearson correlation coefficient r
What is the regression equation?
y=x (Round to one decimal place as needed.)
What is the best predicted weight of a bear with a chest size of 51 inches?
The best predicted weight for a bear with a chest size of 51 inches is pounds.
(Round to one decimal place as needed.)
Is the result close to the actual weight of 595 pounds?
OA. This result is close to the actual weight of the bear.
OB. This result is exactly the same as the actual weight of the bear
OC. This result is very close to the actual weight of the bear
OD. This result is not very close to the actual weight of the bear
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47 46 49 50 38 48 D
487 496 546 518 397 510
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Transcribed Image Text:K
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3
x
H
The data show th
size of 51 inches
Chest size (inch
Weight (pounds
Click the ic
What is the regre
y=+x (R
What is the best
The best predict
(Round to one de
is the result clos
OA. This resu
OB. This resu
OC. This resu
OD. This resu
E
D
C
26
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Critical Values of the Pearson Correlation Coefficient r
R
F
n
4
5
6
7
8
9
10
11
12
13
14
15
15
17
18
19
25
30
V
5
Critical Values of the Pearson Correlation Coefficient r
a=0.05
@=0.01
0.950
0.990
0.878
0.959
0.811
0.917
0.875
0.834
0.798
T
0.754
0.707
G
0.666
0632
0.802
0.578
0.553
0.532
0.514
0.497
0.482
0.468
0.456
0444
0.396
6
Print
B
19 SVA 0
Y
0.765
0.735
0.708
H
0.684
0.861
0.641
0.623
0806
ON
0.590
0.575
0.561
0.505
0.463
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NOTE: To test H: p=0
against H,: p#0, reject H₂
If the absolute value of ris
greater than the critical
value in the table.
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