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 = -0.1 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Jalabert
1
66 kgJohansen
2
78 kgSandstød
4
74 kgJørgensen
6
60 kgUsov
7
63 kgCancellara
9
80 kgBlaudzun
10
66 kgPiil
13
65 kgLupeikis
14
80 kgMickiewicz
17
74 kgAl
20
72 kgReihs
22
75 kgPiziks
23
70 kgLjungqvist
37
73 kgDerepas
38
69 kgvan Dooren
48
59 kgMuravyev
65
75 kg
1
66 kgJohansen
2
78 kgSandstød
4
74 kgJørgensen
6
60 kgUsov
7
63 kgCancellara
9
80 kgBlaudzun
10
66 kgPiil
13
65 kgLupeikis
14
80 kgMickiewicz
17
74 kgAl
20
72 kgReihs
22
75 kgPiziks
23
70 kgLjungqvist
37
73 kgDerepas
38
69 kgvan Dooren
48
59 kgMuravyev
65
75 kg
Weight (KG) →
Result →
80
59
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JALABERT Laurent | 66 |
| 2 | JOHANSEN Allan | 78 |
| 4 | SANDSTØD Michael | 74 |
| 6 | JØRGENSEN René | 60 |
| 7 | USOV Alexandre | 63 |
| 9 | CANCELLARA Fabian | 80 |
| 10 | BLAUDZUN Michael | 66 |
| 13 | PIIL Jakob Storm | 65 |
| 14 | LUPEIKIS Remigius | 80 |
| 17 | MICKIEWICZ Jacek | 74 |
| 20 | AL Thijs | 72 |
| 22 | REIHS Michael | 75 |
| 23 | PIZIKS Arvis | 70 |
| 37 | LJUNGQVIST Marcus | 73 |
| 38 | DEREPAS David | 69 |
| 48 | VAN DOOREN Bas | 59 |
| 65 | MURAVYEV Dmitriy | 75 |