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 63 inches. Is the result close to the actual weight of 542 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) A Click the icon 58 50 65 59 59 48 O 414 312 499 450 456 260 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 63 inches? The best predicted weight for a bear with a chest size of 63 inches is pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 542 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. OC. 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.

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 63 inches. Is the result close to the actual weight of 542 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) A Click the icon 58 50 65 59 59 48 O 414 312 499 450 456 260 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 63 inches? The best predicted weight for a bear with a chest size of 63 inches is pounds. (Round to one decimal place as needed.) Is the result close to the actual weight of 542 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. OC. 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.

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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Concept explainers

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

Critical Values of the Pearson Correlation Coefficientr
a= 0.05
a= 0.01
NOTE: To test H, p-0
against H,: p#0, reject H,
jr the absolute value of r is
preater than the critical
yalue in the table.
0.950
0.990
0.959
0.917
0.875
5
0.878
6
0.811
0.754
7
0.834
0.798
8
0.707
0.666
0.632
0.602
9
10
0.765
11
0.735
12
0.576
0.708
13
0.553
0.684
0.532
0.514
0.497
0.482
14
0.661
15
0.641
16
0.623
17
18
0.606
0.590
0.468
19
0.456
0.444
0.575
20
0.561
25
0.396
0.505
0.463
30
0.361
35
0.335
0.430
40
0.312
0.402
45
0.294
0.279
0.378
0.361
50
60
0.254
0.330
70
80
0.236
0.305
0.286
0.220
90
0.207
0.196
0.269
100
0.256
a= 0.05
a=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
best predicted weight of a bear with a chest size of 63 inches. Is the result close to the
actual weight of 542 pounds? Use a significance level of 0.05.
Chest size (inches)
Weight (pounds)
58
50
65
59
59
48
414
312
499
450
456
260
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 63 inches?
The best predicted weight for a bear with a chest size of 63 inches is
pounds.
(Round to one decimal place as needed.)
Is the result close to the actual weight of 542 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.
Oc. 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.

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