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 = -2.9 * weight + 250
This means that on average for every extra kilogram weight a rider loses -2.9 positions in the result.
Kluge
1
83 kgBoeckmans
4
76 kgBrändle
6
80 kgChaigneau
9
80 kgHoward
20
72 kgO'Shea
21
76 kgGeschke
32
64 kgWestmattelmann
37
75 kgPfingsten
40
69 kgJanorschke
41
78 kgMeyer
43
68 kgMoberg Jørgensen
46
73 kgNerz
51
67 kgBobridge
61
65 kgLindeman
64
69 kgSeubert
66
73 kgMatzka
67
69 kgKreder
71
70 kg
1
83 kgBoeckmans
4
76 kgBrändle
6
80 kgChaigneau
9
80 kgHoward
20
72 kgO'Shea
21
76 kgGeschke
32
64 kgWestmattelmann
37
75 kgPfingsten
40
69 kgJanorschke
41
78 kgMeyer
43
68 kgMoberg Jørgensen
46
73 kgNerz
51
67 kgBobridge
61
65 kgLindeman
64
69 kgSeubert
66
73 kgMatzka
67
69 kgKreder
71
70 kg
Weight (KG) →
Result →
83
64
1
71
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KLUGE Roger | 83 |
| 4 | BOECKMANS Kris | 76 |
| 6 | BRÄNDLE Matthias | 80 |
| 9 | CHAIGNEAU Robin | 80 |
| 20 | HOWARD Leigh | 72 |
| 21 | O'SHEA Glenn | 76 |
| 32 | GESCHKE Simon | 64 |
| 37 | WESTMATTELMANN Daniel | 75 |
| 40 | PFINGSTEN Christoph | 69 |
| 41 | JANORSCHKE Grischa | 78 |
| 43 | MEYER Travis | 68 |
| 46 | MOBERG JØRGENSEN Christian | 73 |
| 51 | NERZ Dominik | 67 |
| 61 | BOBRIDGE Jack | 65 |
| 64 | LINDEMAN Bert-Jan | 69 |
| 66 | SEUBERT Timon | 73 |
| 67 | MATZKA Ralf | 69 |
| 71 | KREDER Raymond | 70 |