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 + 76
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Politt
1
80 kgSchachmann
2
71 kgWeinstein
3
80 kgZepuntke
6
76 kgBuchmann
7
59 kgTenbrock
11
74 kgBraun
13
76 kgRohde
15
75 kgSchormair
17
64 kgSchomber
18
75 kgKessler
19
78 kgKoch
21
75 kgLöer
22
69 kgDenz
23
71 kgBackofen
25
62 kgEgner
26
73 kgMathis
30
71 kgMattheis
32
66 kgBeyer
33
75 kgSoballa
34
71 kgDinkler
37
61 kgNowak
42
68 kg
1
80 kgSchachmann
2
71 kgWeinstein
3
80 kgZepuntke
6
76 kgBuchmann
7
59 kgTenbrock
11
74 kgBraun
13
76 kgRohde
15
75 kgSchormair
17
64 kgSchomber
18
75 kgKessler
19
78 kgKoch
21
75 kgLöer
22
69 kgDenz
23
71 kgBackofen
25
62 kgEgner
26
73 kgMathis
30
71 kgMattheis
32
66 kgBeyer
33
75 kgSoballa
34
71 kgDinkler
37
61 kgNowak
42
68 kg
Weight (KG) →
Result →
80
59
1
42
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POLITT Nils | 80 |
| 2 | SCHACHMANN Maximilian | 71 |
| 3 | WEINSTEIN Domenic | 80 |
| 6 | ZEPUNTKE Ruben | 76 |
| 7 | BUCHMANN Emanuel | 59 |
| 11 | TENBROCK Jonas | 74 |
| 13 | BRAUN Julian | 76 |
| 15 | ROHDE Leon | 75 |
| 17 | SCHORMAIR Fabian | 64 |
| 18 | SCHOMBER Nils | 75 |
| 19 | KESSLER Robert | 78 |
| 21 | KOCH Jonas | 75 |
| 22 | LÖER Lukas | 69 |
| 23 | DENZ Nico | 71 |
| 25 | BACKOFEN Moritz | 62 |
| 26 | EGNER Arne | 73 |
| 30 | MATHIS Marco | 71 |
| 32 | MATTHEIS Oliver | 66 |
| 33 | BEYER Maximilian | 75 |
| 34 | SOBALLA Carl | 71 |
| 37 | DINKLER Jonathan | 61 |
| 42 | NOWAK Florian | 68 |