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 = -0.7 * weight + 80
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Sütterlin
1
78 kgPolitt
2
80 kgZepuntke
9
76 kgKoch
13
75 kgWeinstein
14
80 kgHerklotz
15
68 kgEgner
16
73 kgBeyer
18
75 kgWalscheid
21
90 kgDenz
24
71 kgLoef
30
71 kgBuchmann
31
59 kgSchomber
34
75 kgHuppertz
36
66 kgKrieger
45
71 kgKeller
46
80 kgMathis
48
71 kgAckermann
64
78 kgKegreiß
68
70 kg
1
78 kgPolitt
2
80 kgZepuntke
9
76 kgKoch
13
75 kgWeinstein
14
80 kgHerklotz
15
68 kgEgner
16
73 kgBeyer
18
75 kgWalscheid
21
90 kgDenz
24
71 kgLoef
30
71 kgBuchmann
31
59 kgSchomber
34
75 kgHuppertz
36
66 kgKrieger
45
71 kgKeller
46
80 kgMathis
48
71 kgAckermann
64
78 kgKegreiß
68
70 kg
Weight (KG) →
Result →
90
59
1
68
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SÜTTERLIN Jasha | 78 |
| 2 | POLITT Nils | 80 |
| 9 | ZEPUNTKE Ruben | 76 |
| 13 | KOCH Jonas | 75 |
| 14 | WEINSTEIN Domenic | 80 |
| 15 | HERKLOTZ Silvio | 68 |
| 16 | EGNER Arne | 73 |
| 18 | BEYER Maximilian | 75 |
| 21 | WALSCHEID Max | 90 |
| 24 | DENZ Nico | 71 |
| 30 | LOEF Georg | 71 |
| 31 | BUCHMANN Emanuel | 59 |
| 34 | SCHOMBER Nils | 75 |
| 36 | HUPPERTZ Joshua | 66 |
| 45 | KRIEGER Alexander | 71 |
| 46 | KELLER Hermann | 80 |
| 48 | MATHIS Marco | 71 |
| 64 | ACKERMANN Pascal | 78 |
| 68 | KEGREIß Valentin | 70 |