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 585 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) E Click the icon to view the critical values of the Pearson correlation coefficient r. 49 50 38 397 510 47 46 48 O 487 496 546 518 What is the regression equation? y =+x (Round to one decimal place as needed.).
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 585 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) E Click the icon to view the critical values of the Pearson correlation coefficient r. 49 50 38 397 510 47 46 48 O 487 496 546 518 What is the regression equation? y =+x (Round to one decimal place 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
Related questions
Question
![Critical Values of the Pearson Correlation Coefficient r
a = 0.05
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.
x = 0.01
4
0.950
0.990
0.878
0.959
6.
0.811
0.917
0.754
0.875
8.
0.707
0.834
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
0242](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa951095b-8fe2-4ec9-81e0-5c7669f4ee38%2F67935037-a626-47d7-9169-4782c5c536d2%2F0o435et_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Critical Values of the Pearson Correlation Coefficient r
a = 0.05
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.
x = 0.01
4
0.950
0.990
0.878
0.959
6.
0.811
0.917
0.754
0.875
8.
0.707
0.834
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
0242
![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 585 pounds? Use a significance level of 0.05.
Chest size (inches)
Weight (pounds)
47
46
49
50
38
48 O
487
496
546
518
397
510
E 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.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa951095b-8fe2-4ec9-81e0-5c7669f4ee38%2F67935037-a626-47d7-9169-4782c5c536d2%2Fcljj94_processed.jpeg&w=3840&q=75)
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 585 pounds? Use a significance level of 0.05.
Chest size (inches)
Weight (pounds)
47
46
49
50
38
48 O
487
496
546
518
397
510
E 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.)
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