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. 48 O Chest size (inches) Weight (pounds) 50 518 397 47 46 49 38 487 496 546 510 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? =+x (Round to one decimal place as needed.) y : 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? O A. This result is close to the actual weight of the bear. O B. This result is very close to the actual weight of the bear. O C. This result is exactly the same as the actual weight of the bear. O D. 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 chest size of 51 inches. Is the result close to the actual weight of 595 pounds? Use a significance level of 0.05. 48 O Chest size (inches) Weight (pounds) 50 518 397 47 46 49 38 487 496 546 510 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? =+x (Round to one decimal place as needed.) y : 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? O A. This result is close to the actual weight of the bear. O B. This result is very close to the actual weight of the bear. O C. This result is exactly the same as the actual weight of the bear. O D. 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.
48 O
Chest size (inches)
Weight (pounds)
50
518 397
47
46
49
38
487
496
546
510
Click the icon to view the critical values of the Pearson correlation coefficient r.
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 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?
O A. This result is close to the actual weight of the bear.
O B. This result is very close to the actual weight of the bear.
O C. This result is exactly the same as the actual weight of the bear.
O D. This result is not very close to the actual weight of the bear.
Transcribed Image Text:.....
Critical values of the pearson correlation coefficient r
Critical Values of the Pearson Correlation Coefficient r
NOTE: To test Ho: p= 0
against H,: p#0, reject Ho
if the absolute value of r is
greater than the critical
value in the table.
a = 0.05
a = 0.01
4
0.950
0.990
0.878
0.959
6.
0.811
0.917
7
0.754
0.875
8
0.707
0.834
9.
0.666
0.798
10
0.632
0.765
11
0.602
0.735
12
0.576
0.708
13
0.553
0.684
14
0.532
0.661
15
0.514
0.641
16
0.497
0.623
17
0.482
0.606
18
0.468
0.590
19
0.456
0.575
20
0.444
0.561
25
0.396
0.505
30
0.361
0.463
35
0.335
0.430
40
0.312
0.402
Print
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