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 57 inches. Is the result close to the actual weight of 436 pounds? Use a significance level of 0.05. 51 58 44 60 D 58 48 425 266 347 453 282 408 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 57 inches? The best predicted weight for a bear with a chest size of 57 inches is (Round to one decimal place as needed.) Is the result close to the actual weight of 436 pounds? OA. This result is not very close to the actual weight of the bear. B. This result is very close to the actual weight of the bear. OC. This result is close to the actual weight of the bear. O D. This result is exactly the same as the actual weight of the bear. pounds.
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 57 inches. Is the result close to the actual weight of 436 pounds? Use a significance level of 0.05. 51 58 44 60 D 58 48 425 266 347 453 282 408 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 57 inches? The best predicted weight for a bear with a chest size of 57 inches is (Round to one decimal place as needed.) Is the result close to the actual weight of 436 pounds? OA. This result is not very close to the actual weight of the bear. B. This result is very close to the actual weight of the bear. OC. This result is close to the actual weight of the bear. O D. This result is exactly the same as the actual weight of the bear. pounds.
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
9
Transcribed Image Text:n
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
25
30
35
40
α = 0.05
0.950
0.878
0.811
0.754
0.707
0.666
0.632
0.602
0.576
0.553
0.532
0.514
0.497
0.482
0.468
0.456
0.444
0.396
0.361
0.335
0.312
α = 0.01
0.990
0.959
0.917
0.875
0.834
0.798
0.765
0.735
0.708
0.684
0.661
0.641
0.623
0.606
0.590
0.575
0.561
0.505
0.463
0.430
0.402
NOTE: To test Ho: p=0
against H₁: p‡0, reject Ho
if the absolute value of r is
greater than the critical
value in the table.
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 57 inches. Is the result close to the actual weight of 436 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.
60
58
48 51 58
44
425 266 347 453 282 408
What is the regression equation?
=
+ x (Round to one decimal place as needed.)
What is the best predicted weight of a bear with a chest size of 57 inches?
The best predicted weight for a bear with a chest size of 57 inches is
(Round to one decimal place as needed.)
Is the result close to the actual weight of 436 pounds?
A.
This result is not very close to the actual weight of the bear.
B. This result is very close to the actual weight of the bear.
C. This result is close to the actual weight of the bear.
D. This result is exactly the same as the actual weight of the bear.
pounds.
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