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 = 0.3 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Durand
1
76 kgThijs
2
69 kgJoly
6
74 kgGonzález
7
70 kgGuesdon
8
73 kgRenier
9
69 kgPetrov
11
70 kgRoesems
12
81 kgSivakov
14
72 kgPlanckaert
15
70 kgPlouhinec
16
63 kgCasper
18
69 kgBodrogi
19
79 kgAuger
20
78 kgle Boulanger
22
70 kgAuger
23
78 kgRous
25
70 kgMagnien
26
68 kgPozzato
29
73 kgCancellara
30
80 kg
1
76 kgThijs
2
69 kgJoly
6
74 kgGonzález
7
70 kgGuesdon
8
73 kgRenier
9
69 kgPetrov
11
70 kgRoesems
12
81 kgSivakov
14
72 kgPlanckaert
15
70 kgPlouhinec
16
63 kgCasper
18
69 kgBodrogi
19
79 kgAuger
20
78 kgle Boulanger
22
70 kgAuger
23
78 kgRous
25
70 kgMagnien
26
68 kgPozzato
29
73 kgCancellara
30
80 kg
Weight (KG) →
Result →
81
63
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DURAND Jacky | 76 |
| 2 | THIJS Erwin | 69 |
| 6 | JOLY Sébastien | 74 |
| 7 | GONZÁLEZ Santos | 70 |
| 8 | GUESDON Frédéric | 73 |
| 9 | RENIER Franck | 69 |
| 11 | PETROV Evgeni | 70 |
| 12 | ROESEMS Bert | 81 |
| 14 | SIVAKOV Alexei | 72 |
| 15 | PLANCKAERT Jo | 70 |
| 16 | PLOUHINEC Samuel | 63 |
| 18 | CASPER Jimmy | 69 |
| 19 | BODROGI László | 79 |
| 20 | AUGER Guillaume | 78 |
| 22 | LE BOULANGER Yoann | 70 |
| 23 | AUGER Ludovic | 78 |
| 25 | ROUS Didier | 70 |
| 26 | MAGNIEN Emmanuel | 68 |
| 29 | POZZATO Filippo | 73 |
| 30 | CANCELLARA Fabian | 80 |