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 = -2.5 * weight + 210
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Boeckmans
1
76 kgBrändle
3
80 kgKluge
6
83 kgLindeman
7
69 kgHoward
8
72 kgChaigneau
9
80 kgMatzka
10
69 kgKreder
11
70 kgPfingsten
12
69 kgJanorschke
20
78 kgWestmattelmann
32
75 kgMeyer
41
68 kgSeubert
43
73 kgNerz
56
67 kgO'Shea
71
76 kgBobridge
74
65 kgGeschke
78
64 kgMoberg Jørgensen
84
73 kg
1
76 kgBrändle
3
80 kgKluge
6
83 kgLindeman
7
69 kgHoward
8
72 kgChaigneau
9
80 kgMatzka
10
69 kgKreder
11
70 kgPfingsten
12
69 kgJanorschke
20
78 kgWestmattelmann
32
75 kgMeyer
41
68 kgSeubert
43
73 kgNerz
56
67 kgO'Shea
71
76 kgBobridge
74
65 kgGeschke
78
64 kgMoberg Jørgensen
84
73 kg
Weight (KG) →
Result →
83
64
1
84
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOECKMANS Kris | 76 |
| 3 | BRÄNDLE Matthias | 80 |
| 6 | KLUGE Roger | 83 |
| 7 | LINDEMAN Bert-Jan | 69 |
| 8 | HOWARD Leigh | 72 |
| 9 | CHAIGNEAU Robin | 80 |
| 10 | MATZKA Ralf | 69 |
| 11 | KREDER Raymond | 70 |
| 12 | PFINGSTEN Christoph | 69 |
| 20 | JANORSCHKE Grischa | 78 |
| 32 | WESTMATTELMANN Daniel | 75 |
| 41 | MEYER Travis | 68 |
| 43 | SEUBERT Timon | 73 |
| 56 | NERZ Dominik | 67 |
| 71 | O'SHEA Glenn | 76 |
| 74 | BOBRIDGE Jack | 65 |
| 78 | GESCHKE Simon | 64 |
| 84 | MOBERG JØRGENSEN Christian | 73 |