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 + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Viviani
1
67 kgFenn
2
79 kgBoasson Hagen
3
75 kgvan Hummel
4
64 kgHenderson
5
75 kgLadagnous
6
73 kgBos
7
77 kgSanz
8
67 kgKruopis
9
80 kgPetacchi
10
70 kgLodewyck
11
70 kgMarkus
12
75 kgLindeman
13
69 kgBandiera
14
68 kgMondory
15
66 kgTsatevich
16
64 kgWellens
17
71 kgHaussler
18
74 kgLewis
19
65 kgMalori
20
68 kg
1
67 kgFenn
2
79 kgBoasson Hagen
3
75 kgvan Hummel
4
64 kgHenderson
5
75 kgLadagnous
6
73 kgBos
7
77 kgSanz
8
67 kgKruopis
9
80 kgPetacchi
10
70 kgLodewyck
11
70 kgMarkus
12
75 kgLindeman
13
69 kgBandiera
14
68 kgMondory
15
66 kgTsatevich
16
64 kgWellens
17
71 kgHaussler
18
74 kgLewis
19
65 kgMalori
20
68 kg
Weight (KG) →
Result →
80
64
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VIVIANI Elia | 67 |
| 2 | FENN Andrew | 79 |
| 3 | BOASSON HAGEN Edvald | 75 |
| 4 | VAN HUMMEL Kenny | 64 |
| 5 | HENDERSON Gregory | 75 |
| 6 | LADAGNOUS Matthieu | 73 |
| 7 | BOS Theo | 77 |
| 8 | SANZ Enrique | 67 |
| 9 | KRUOPIS Aidis | 80 |
| 10 | PETACCHI Alessandro | 70 |
| 11 | LODEWYCK Klaas | 70 |
| 12 | MARKUS Barry | 75 |
| 13 | LINDEMAN Bert-Jan | 69 |
| 14 | BANDIERA Marco | 68 |
| 15 | MONDORY Lloyd | 66 |
| 16 | TSATEVICH Alexey | 64 |
| 17 | WELLENS Tim | 71 |
| 18 | HAUSSLER Heinrich | 74 |
| 19 | LEWIS Craig | 65 |
| 20 | MALORI Adriano | 68 |