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 50 inches. Is the result close to the actual weight of 337 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 49 51 53 61 57 45 368 382 420 481 457 287 E Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y =D+x (Round to one decimal place as needed.) What is the best predicted weight of a bear with a chest size of 50 inches? The best predicted weight for a bear with a chest size of 50 inches is pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 337 pounds? A. This result is not very 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. D. This result is 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
icon
Related questions
Question
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 50 inches. Is the result close to the actual weight of 337 pounds? Use a significance level of 0.05.
Chest size (inches)
Weight (pounds)
49
51
53
61
57
45
368
382
420
481
457
287
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.)
What is the best predicted weight of a bear with a chest size
50 inches?
The best predicted weight for a bear with a chest size of 50 inches is pounds.
(Round to one decimal place as needed.)
Is the result close to the actual weight of 337 pounds?
O A. This result is not very 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 close to the actual weight of the bear.
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 50 inches. Is the result close to the actual weight of 337 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 49 51 53 61 57 45 368 382 420 481 457 287 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.) What is the best predicted weight of a bear with a chest size 50 inches? The best predicted weight for a bear with a chest size of 50 inches is pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 337 pounds? O A. This result is not very 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 close to the actual weight of the bear.
Critical values of the pearson correlation coefficient r
the
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
5
0.878
0.959
6.
0.811
0.917
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
0 402.
40
0312
Print
Done
Transcribed Image Text:Critical values of the pearson correlation coefficient r the 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 5 0.878 0.959 6. 0.811 0.917 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 0 402. 40 0312 Print Done
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman