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.
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.
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.CR: Chapter Review Exercises
Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...
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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 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: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
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