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 43 inches. Is the result close to the actual weight of 277 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 54 44 54 40 36 O 116 50 279 339 219 292 201 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.)
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 43 inches. Is the result close to the actual weight of 277 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 54 44 54 40 36 O 116 50 279 339 219 292 201 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.)
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 43 inches. Is the result close to the actual weight of 277 pounds? Use a significance level of 0.05.
Chest size (inches)
Weight (pounds)
50
54
40
54
44
339 219
36
| 279
292 201
116
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.)
Transcribed Image Text:quation?
one decima
Critical values of the pearson correlation coefficient r
Critical Values of the Pearson Correlation Coefficient r
a = 0.05
a = 0.01
NOTE: To test Ho: p=0
4
0.950
0.990
against H,: p 0, reject Ho
if the absolute value of r is
greater than the critical
value in the table.
0.878
0.959
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
0.468
0.456
18
0.590
19
0.575
20
0.444
0.561
e this
Vie
25
0.396
0.505
30
0.361
0.463
35
0.335
0.430
0212
0402
Print
Done
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