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 = -0.8 * weight + 83
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Reinders
2
78.1 kgPolitt
3
80 kgMager
4
60 kgRohde
5
75 kgEgner
8
73 kgWalscheid
9
90 kgDinkler
10
61 kgBrusselman
11
76 kgTenbrock
12
74 kgAriesen
14
70 kgBeyer
15
75 kgLöer
16
69 kgHuppertz
17
66 kgKoch
18
75 kgBouwman
27
60 kgKessler
32
78 kgAckermann
34
78 kgCarstensen
35
69 kgReske
39
64 kgGoldstein
46
63 kgSagiv
54
68 kgYechezkel
57
70 kgBerger
63
66 kg
2
78.1 kgPolitt
3
80 kgMager
4
60 kgRohde
5
75 kgEgner
8
73 kgWalscheid
9
90 kgDinkler
10
61 kgBrusselman
11
76 kgTenbrock
12
74 kgAriesen
14
70 kgBeyer
15
75 kgLöer
16
69 kgHuppertz
17
66 kgKoch
18
75 kgBouwman
27
60 kgKessler
32
78 kgAckermann
34
78 kgCarstensen
35
69 kgReske
39
64 kgGoldstein
46
63 kgSagiv
54
68 kgYechezkel
57
70 kgBerger
63
66 kg
Weight (KG) →
Result →
90
60
2
63
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | REINDERS Elmar | 78.1 |
| 3 | POLITT Nils | 80 |
| 4 | MAGER Christian | 60 |
| 5 | ROHDE Leon | 75 |
| 8 | EGNER Arne | 73 |
| 9 | WALSCHEID Max | 90 |
| 10 | DINKLER Jonathan | 61 |
| 11 | BRUSSELMAN Twan | 76 |
| 12 | TENBROCK Jonas | 74 |
| 14 | ARIESEN Tim | 70 |
| 15 | BEYER Maximilian | 75 |
| 16 | LÖER Lukas | 69 |
| 17 | HUPPERTZ Joshua | 66 |
| 18 | KOCH Jonas | 75 |
| 27 | BOUWMAN Koen | 60 |
| 32 | KESSLER Robert | 78 |
| 34 | ACKERMANN Pascal | 78 |
| 35 | CARSTENSEN Lucas | 69 |
| 39 | RESKE Tim | 64 |
| 46 | GOLDSTEIN Roy | 63 |
| 54 | SAGIV Guy | 68 |
| 57 | YECHEZKEL Aviv | 70 |
| 63 | BERGER Leon | 66 |