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 + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Taaramäe
1
68 kgMalacarne
2
63 kgGautier
3
65 kgGeniez
4
68 kgKruijswijk
5
63 kgNepomnyachshiy
6
62 kgSoupe
7
70 kgGallopin
9
69 kgVichot
10
74 kgvan Garderen
12
72 kgSinkeldam
14
77 kgLemarchand
15
67 kgPinot
16
63 kgBonnafond
17
68 kgHardy
18
62 kgBagot
19
65 kgHurel
20
66 kg
1
68 kgMalacarne
2
63 kgGautier
3
65 kgGeniez
4
68 kgKruijswijk
5
63 kgNepomnyachshiy
6
62 kgSoupe
7
70 kgGallopin
9
69 kgVichot
10
74 kgvan Garderen
12
72 kgSinkeldam
14
77 kgLemarchand
15
67 kgPinot
16
63 kgBonnafond
17
68 kgHardy
18
62 kgBagot
19
65 kgHurel
20
66 kg
Weight (KG) →
Result →
77
62
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAARAMÄE Rein | 68 |
| 2 | MALACARNE Davide | 63 |
| 3 | GAUTIER Cyril | 65 |
| 4 | GENIEZ Alexandre | 68 |
| 5 | KRUIJSWIJK Steven | 63 |
| 6 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 7 | SOUPE Geoffrey | 70 |
| 9 | GALLOPIN Tony | 69 |
| 10 | VICHOT Arthur | 74 |
| 12 | VAN GARDEREN Tejay | 72 |
| 14 | SINKELDAM Ramon | 77 |
| 15 | LEMARCHAND Romain | 67 |
| 16 | PINOT Thibaut | 63 |
| 17 | BONNAFOND Guillaume | 68 |
| 18 | HARDY Romain | 62 |
| 19 | BAGOT Yoann | 65 |
| 20 | HUREL Tony | 66 |