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 = -0.4 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Meyer
2
68 kgBrändle
5
80 kgNerz
7
67 kgBobridge
8
65 kgBoeckmans
9
76 kgHoward
11
72 kgKluge
12
83 kgWestmattelmann
13
75 kgO'Shea
18
76 kgPfingsten
20
69 kgGeschke
21
64 kgJanorschke
25
78 kgSeubert
38
73 kgChaigneau
51
80 kgKreder
55
70 kgMatzka
64
69 kgLindeman
78
69 kgMoberg Jørgensen
80
73 kg
2
68 kgBrändle
5
80 kgNerz
7
67 kgBobridge
8
65 kgBoeckmans
9
76 kgHoward
11
72 kgKluge
12
83 kgWestmattelmann
13
75 kgO'Shea
18
76 kgPfingsten
20
69 kgGeschke
21
64 kgJanorschke
25
78 kgSeubert
38
73 kgChaigneau
51
80 kgKreder
55
70 kgMatzka
64
69 kgLindeman
78
69 kgMoberg Jørgensen
80
73 kg
Weight (KG) →
Result →
83
64
2
80
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MEYER Travis | 68 |
| 5 | BRÄNDLE Matthias | 80 |
| 7 | NERZ Dominik | 67 |
| 8 | BOBRIDGE Jack | 65 |
| 9 | BOECKMANS Kris | 76 |
| 11 | HOWARD Leigh | 72 |
| 12 | KLUGE Roger | 83 |
| 13 | WESTMATTELMANN Daniel | 75 |
| 18 | O'SHEA Glenn | 76 |
| 20 | PFINGSTEN Christoph | 69 |
| 21 | GESCHKE Simon | 64 |
| 25 | JANORSCHKE Grischa | 78 |
| 38 | SEUBERT Timon | 73 |
| 51 | CHAIGNEAU Robin | 80 |
| 55 | KREDER Raymond | 70 |
| 64 | MATZKA Ralf | 69 |
| 78 | LINDEMAN Bert-Jan | 69 |
| 80 | MOBERG JØRGENSEN Christian | 73 |