Question Help ▼ 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) E Click the icon to view the critical values of the Pearson correlation coefficient r. 50 54 44 54 40 36 O Critical Values of the Pearson Correlation Coefficient r 279 339 219 292 201 116 What is the regression equation? 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 = 0.05 0.950 a = 0.01 0.990 y=+x (Round to one decimal place as needed.) 4 5 0.878 0.959 What is the best predicted weight of a bear with a chest size of 43 inches? 0.811 0.917 0.754 0.875 The best predicted weight for a bear with a chest size of 43 inches is pounds. (Round to one decimal place as needed.) 0.707 0.666 .834 0.798 8. 9 10 0.632 0.765 Is the result close to the actual weight of 277 pounds? 11 0.602 0.735 12 0.576 O A. This result is not very close to the actual weight of the bear. 0.708 0.684 13 0.553 14 0.532 0.661 O B. This result is very close to the actual weight of the bear. 15 0.514 0.641 O C. This result is close to the actual weight of the bear. 0.497 0.482 0.468 0.623 0.606 0.590 16 17 O D. This result is exactly the same as the actual weight of the bear. 18 19 0.456 0.575 0.661 20 0.444
Question Help ▼ 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) E Click the icon to view the critical values of the Pearson correlation coefficient r. 50 54 44 54 40 36 O Critical Values of the Pearson Correlation Coefficient r 279 339 219 292 201 116 What is the regression equation? 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 = 0.05 0.950 a = 0.01 0.990 y=+x (Round to one decimal place as needed.) 4 5 0.878 0.959 What is the best predicted weight of a bear with a chest size of 43 inches? 0.811 0.917 0.754 0.875 The best predicted weight for a bear with a chest size of 43 inches is pounds. (Round to one decimal place as needed.) 0.707 0.666 .834 0.798 8. 9 10 0.632 0.765 Is the result close to the actual weight of 277 pounds? 11 0.602 0.735 12 0.576 O A. This result is not very close to the actual weight of the bear. 0.708 0.684 13 0.553 14 0.532 0.661 O B. This result is very close to the actual weight of the bear. 15 0.514 0.641 O C. This result is close to the actual weight of the bear. 0.497 0.482 0.468 0.623 0.606 0.590 16 17 O D. This result is exactly the same as the actual weight of the bear. 18 19 0.456 0.575 0.661 20 0.444
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Question
Transcribed Image Text:Question Help
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
44
54
40
36
Critical Values of the Pearson Correlation Coefficient r
279
339
219
292
201
116
Click the icon to view the critical values of the Pearson correlation coefficient r.
What is the regression equation?
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
y =+ x (Round to one decimal place as needed.)
4
0.950
0.990
0.878
0.959
What is the best predicted weight of a bear with a chest size of 43 inches?
0.811
0.917
7
0.754
0.875
The best predicted weight for a bear with a chest size of 43 inches is pounds.
8
0.707
.834
(Round to one decimal place as needed.)
0.666
0.798
10
0.632
0.765
Is the result close to the actual weight of 277 pounds?
11
0.602
0.735
12
0.576
0.708
O A. This result is not very close to the actual weight of the bear.
13
0.553
0.684
14
0.532
0.661
B. This result is very close to the actual weight of the bear.
15
0.514
0.641
C. This result is close to the actual weight of the bear.
16
0.497
0.623
17
0.482
0.606
O D. This result is exactly the same as the actual weight of the bear.
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
Click to select your answer(s).
35
0.335
0.430
40
0.312
0.402
Transcribed Image Text:Question Help ▼
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)
50
54
44
54 40
36
Critical Values of the Pearson Correlation Coefficient r
Weight (pounds)
279
339
219
292
201
116
Click the icon to view the critical values of the Pearson correlation coefficient r.
U.032
U./05
What is the regression equation?
11
0.602
0.735
12
0.576
0.708
y =+ x (Round to one decimal place as needed.)
13
0.553
0.684
14
0.532
0.661
What is the best predicted weight of a bear with a chest size of 43 inches?
15
0.514
0.641
16
0.497
0.623
The best predicted weight for a bear with a chest size of 43 inches is pounds.
17
0.482
0.606
(Round to one decimal place as needed.)
18
0.468
0.590
Is the result close to the actual weight of 277 pounds?
19
0.456
0.575
20
0.444
0.561
25
0.396
0.505
O A. This result is not very close to the actual weight of the bear.
30
0.361
0.463
O B. This result is very close to the actual weight of the bear.
35
0.335
0.430
40
0.312
0.402
C. This result is close to the actual weight of the bear.
45
0.294
0.378
O D. This result is exactly the same as the actual weight of the bear.
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
Click to select your answer(s).
a = 0.05
x = 0.01
in
Critical Values of the Pearson Correlation Coefficient r
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