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 237 pounds? Use a significance level of 0.05. Chest size (inches) 50 54 Weight (pounds) 279 44 54 40 36 D 339 219 292 201 116 × Critical Values of the Pearson Correlation Coefficient r Click the icon to view the critical values of the Pearson correlation coefficient i What is the regression equation? ŷ=+x (Round to one decimal place as needed.) Critical Values of the Pearson Correlation Coefficient r n α = 0.05 α=0.01 NOTE: To test Ho: p=0 4 0.950 0.990 5 0.878 0.959 against H₁: p0, reject Ho if the absolute value of r is 6 0.811 0.917 7 0.754 0.875 greater than the critical value in the table. 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 45 0.294 0.378 50 0.279 0.361 60 0.254 0.330 70 0.236 0.305 80 0.220 0.286 90 0.207 0.269 100 0.196 0.256 n a=0.05 α=0.01
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 237 pounds? Use a significance level of 0.05. Chest size (inches) 50 54 Weight (pounds) 279 44 54 40 36 D 339 219 292 201 116 × Critical Values of the Pearson Correlation Coefficient r Click the icon to view the critical values of the Pearson correlation coefficient i What is the regression equation? ŷ=+x (Round to one decimal place as needed.) Critical Values of the Pearson Correlation Coefficient r n α = 0.05 α=0.01 NOTE: To test Ho: p=0 4 0.950 0.990 5 0.878 0.959 against H₁: p0, reject Ho if the absolute value of r is 6 0.811 0.917 7 0.754 0.875 greater than the critical value in the table. 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 45 0.294 0.378 50 0.279 0.361 60 0.254 0.330 70 0.236 0.305 80 0.220 0.286 90 0.207 0.269 100 0.196 0.256 n a=0.05 α=0.01
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 237 pounds? Use a significance level of 0.05.
Chest size (inches)
50
54
Weight (pounds)
279
44 54 40 36 D
339 219 292 201 116
×
Critical Values of the Pearson Correlation Coefficient r
Click the icon to view the critical values of the Pearson correlation coefficient i
What is the regression equation?
ŷ=+x (Round to one decimal place as needed.)
Critical Values of the Pearson Correlation Coefficient r
n
α = 0.05
α=0.01
NOTE: To test Ho: p=0
4
0.950
0.990
5
0.878
0.959
against H₁: p0, reject Ho
if the absolute value of r is
6
0.811
0.917
7
0.754
0.875
greater than the critical
value in the table.
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
45
0.294
0.378
50
0.279
0.361
60
0.254
0.330
70
0.236
0.305
80
0.220
0.286
90
0.207
0.269
100
0.196
0.256
n
a=0.05
α=0.01
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