Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kämna
1
65 kgSteimle
2
73 kgPolitt
3
80 kgRutsch
4
82 kgSteinhauser
5
65 kgHollmann
6
70 kgArndt
7
77.5 kgBrenner
8
59 kgHessmann
9
78 kgOsborne
11
70 kgWolf
12
85 kgWalscheid
13
90 kgSütterlin
14
78 kgMeiler
16
65 kgBauer
18
67 kgStark
19
67 kgSchuppert
20
75 kgAdamietz
21
61 kgBraun
22
76 kgHuppertz
23
66 kgNolde
25
79 kgThurau
35
73 kgMünstermann
36
75 kgGaebel
50
68 kg
1
65 kgSteimle
2
73 kgPolitt
3
80 kgRutsch
4
82 kgSteinhauser
5
65 kgHollmann
6
70 kgArndt
7
77.5 kgBrenner
8
59 kgHessmann
9
78 kgOsborne
11
70 kgWolf
12
85 kgWalscheid
13
90 kgSütterlin
14
78 kgMeiler
16
65 kgBauer
18
67 kgStark
19
67 kgSchuppert
20
75 kgAdamietz
21
61 kgBraun
22
76 kgHuppertz
23
66 kgNolde
25
79 kgThurau
35
73 kgMünstermann
36
75 kgGaebel
50
68 kg
Weight (KG) →
Result →
90
59
1
50
# | Rider | Weight (KG) |
---|---|---|
1 | KÄMNA Lennard | 65 |
2 | STEIMLE Jannik | 73 |
3 | POLITT Nils | 80 |
4 | RUTSCH Jonas | 82 |
5 | STEINHAUSER Georg | 65 |
6 | HOLLMANN Juri | 70 |
7 | ARNDT Nikias | 77.5 |
8 | BRENNER Marco | 59 |
9 | HESSMANN Michel | 78 |
11 | OSBORNE Jason | 70 |
12 | WOLF Justin | 85 |
13 | WALSCHEID Max | 90 |
14 | SÜTTERLIN Jasha | 78 |
16 | MEILER Lukas | 65 |
18 | BAUER Dominik | 67 |
19 | STARK Immanuel | 67 |
20 | SCHUPPERT Fabian | 75 |
21 | ADAMIETZ Johannes | 61 |
22 | BRAUN Julian | 76 |
23 | HUPPERTZ Joshua | 66 |
25 | NOLDE Tobias | 79 |
35 | THURAU Sven | 73 |
36 | MÜNSTERMANN Per | 75 |
50 | GAEBEL Stefan | 68 |