Name Gender Runtime Age Weight Oxygen_Consumption Run_Pulse Rest_Pulse Maximum_Pulse Performance 172 8.17 8.63 Donna F 42 68.15 59.57 166 40 14 Gracie F 38 81.87 60.06 170 48 186 13 Luanne F 8.65 43 85.84 54.3 156 45 168 13 Mimi F 8.92 50 70.87 54.63 146 48 155 11 180 Chris Allen 8.95 81.42 49.16 49.87 M 49 44 185 11 M 9.22 38 89.02 178 55 180 12 Nancy F 9.4 49 76.32 48.67 186 56 188 10 9.63 9.93 F 10 Patty F 52 76.32 45.44 164 48 166 10 Suzanne F 57 59.08 50.55 148 49 155 9 Teresa 51 77.91 46.67 162 48 168 9. Bob M 10.07 40 75.07 45.31 185 62 185 9. Harriett F 10.08 F 10.13 м 10.25 м 10.33 F 10.47 м 10.5 F 10.6 м 10.85 м 10.95 F 11.08 F 11.12 м 11.17 м 11.37 49 73.37 50.39 168 67 168 9. 73.03 91.63 Jane 44 50.54 168 45 168 9. Harold 48 46.77 162 48 164 9. Sammy Buffy Trent 54 83.12 51.85 166 50 170 8 52 73.71 45.79 186 59 188 8. 52 82.78 47.47 170 53 172 8 Jackie 47 79.15 47.27 162 47 164 8 Ralph Jack 43 81.19 49.09 162 64 170 7 51 69.63 40.84 168 57 172 7 Annie 51 67.25 45.12 172 48 172 7 44.75 46.08 44.61 Kate 45 66.45 176 51 176 7 Carl 54 79.38 156 62 165 7 Don 44 89.47 178 62 182 6. Effie F 11.5 48 61.24 47.92 170 52 176 м 11.63 F 11.95 м 12.63 м 12.88 м 13.08 м 14.03 George Iris 47 77.45 44.81 176 58 176 6. 40 75.98 45.68 176 70 180 Mark 57 73.37 39.41 174 58 176 4 Steve 54 91.63 39.2 168 44 172 4 81.42 39.44 Vaughn William 44 174 63 176 45 87.66 37.39 186 56 192
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.
Comment on the
![Name Gender Runtime Age Weight Oxygen_Consumption Run_Pulse Rest_Pulse Maximum_Pulse Performance
Donna
F
8.17
42
68.15
59.57
166
40
172
14
Gracie
F
8.63
38
81.87
60.06
170
48
186
13
Luanne
F
8.65
85.84
54.3
156
45
168
13
Mimi
F
8.92
70.87
54.63
146
48
155
11
Chris
M
8.95
49
81.42
49.16
180
185
11
Allen
M
9.22
38
89.02
49.87
178
55
180
12
Nancy
F
9.4
49
76.32
48.67
186
56
188
10
Patty
F
9.63
52
76.32
45.44
164
48
166
10
Suzanne
F
9.93
57
59.08
50.55
148
49
155
Teresa
F 10
51
77.91
46.67
162
48
168
9.
Bob
м 10.07
40
75.07
45.31
185
62
185
9
Harriett F 10.08
49
73.37
50.39
168
67
168
9.
F 10.13
м 10.25
м 10.33
F 10.47
м 10.5
F 10.6
м 10.85
м 10.95
F 11.08
F 11.12
м 11.17
м 11.37
F 11.5
м 11.63
F 11.95
м 12.63
м 12.88
м 13.08
м 14.03
Jane
44
73.03
50.54
168
45
168
Harold
48
91.63
46.77
162
164
9.
54
83.12
51.85
166
50
170
8.
Sammy
Buffy
52
73.71
45.79
186
59
188
8.
Trent
82.78
47.47
170
53
172
8
Jackie
47
79.15
47.27
162
47
164
8.
Ralph
Jack
43
81.19
49.09
162
64
170
7
69.63
40.84
168
57
172
7
Annie
51
67.25
45.12
172
48
172
7
Kate
45
66.45
44.75
176
51
176
7
Carl
54
79.38
46.08
156
62
165
7
Don
44
89.47
44.61
178
62
182
6.
Effie
48
61.24
47.92
170
52
176
6
47
77.45
44.81
176
58
176
6.
George
Iris
40
75.98
45.68
176
70
180
Mark
57
73.37
39.41
174
176
4
Steve
54
91.63
39.2
168
44
172
4
81.42
Vaughn
William
44
39.44
174
63
176
2
45
87.66
37.39
186
56
192
LO CO SH LO
n o O o m N N O H N N2
O O 0 g M O
o m o oo anN
M 4 5 43A4 555 44 45L554 455 4 5 4 4 4 5 5 4
* N NN
m 1 H 54 O N](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F308ed46b-1fe0-4658-9539-51ae28fecd04%2Faadf68a5-a46c-446a-9692-eb82eb32b21e%2F9xahjny_processed.png&w=3840&q=75)
![](/static/compass_v2/shared-icons/check-mark.png)
Step by step
Solved in 2 steps with 3 images
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
![Elementary Statistics: Picturing the World (7th E…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
![Introduction to the Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)