Thẻ đâtă shów 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 515 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 47 46 49 50 38 48 487 496 546 518 397 510 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 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 515 pounds? O A. This result is very close to the actual weight of the bear. O B. This result is close to the actual weight of the bear. O C. This result is not very close to the actual weight of the bear. OD. This result is exactly the same as 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
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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 515 pounds? Use a significance level of 0.05.
Chest size (inches)
Weight (pounds)
47
46
49
50
38
48 D
487
496
546
518
397
510
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 of 51 inches?
The best predicted weight for a bear with a chest size of 51 inche is
pounds.
(Round to one decimal place as needed.)
Is the result close to the actual weight of 515 pounds?
O A. This result is very close to the actual weight of the bear.
O B. This result is close to the actual weight of the bear.
O C. This result is not very close to the actual weight of the bear.
O D. This result is exactly the same as 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 51 inches. Is the result close to the actual weight of 515 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 47 46 49 50 38 48 D 487 496 546 518 397 510 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 of 51 inches? The best predicted weight for a bear with a chest size of 51 inche is pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 515 pounds? O A. This result is very close to the actual weight of the bear. O B. This result is close to the actual weight of the bear. O C. This result is not very close to the actual weight of the bear. O D. This result is exactly the same as the actual weight of the bear.
Critical values of the pearson correlation coefficient r
Critical Values of the Pearson Correlation Coefficient r
a = 0.05
NOTE: To test Ho: p= 0
against H,: p#0, reject H,
if the absolute value of r is
greater than the critical
value in the table.
a = 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
40
0.312
0.402
Transcribed Image Text:Critical values of the pearson correlation coefficient r Critical Values of the Pearson Correlation Coefficient r a = 0.05 NOTE: To test Ho: p= 0 against H,: p#0, reject H, if the absolute value of r is greater than the critical value in the table. a = 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 40 0.312 0.402
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