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 = -2.8 * weight + 208
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
Scott
1
66 kgvan Sintmaartensdijk
4
77 kgLaurance
5
66 kgPortsmouth
6
70 kgKrijnsen
8
73 kgMijnsbergen
9
68 kgCostiou
12
64 kgRoesems
13
70 kgLe Berre
17
68 kgChromy
19
63 kgThompson
21
66 kgMaclean
25
65 kgSemperena Oyarzabal
28
70 kgStevant
33
65 kgBolgiani
37
61 kgVerschuren
47
54 kgWood
67
64 kgde Bruin
71
64 kgMahoudo
74
61 kg
1
66 kgvan Sintmaartensdijk
4
77 kgLaurance
5
66 kgPortsmouth
6
70 kgKrijnsen
8
73 kgMijnsbergen
9
68 kgCostiou
12
64 kgRoesems
13
70 kgLe Berre
17
68 kgChromy
19
63 kgThompson
21
66 kgMaclean
25
65 kgSemperena Oyarzabal
28
70 kgStevant
33
65 kgBolgiani
37
61 kgVerschuren
47
54 kgWood
67
64 kgde Bruin
71
64 kgMahoudo
74
61 kg
Weight (KG) →
Result →
77
54
1
74
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCOTT Jared | 66 |
| 4 | VAN SINTMAARTENSDIJK Roel | 77 |
| 5 | LAURANCE Axel | 66 |
| 6 | PORTSMOUTH Tom | 70 |
| 8 | KRIJNSEN Jelte | 73 |
| 9 | MIJNSBERGEN Thomas | 68 |
| 12 | COSTIOU Ewen | 64 |
| 13 | ROESEMS Siebe | 70 |
| 17 | LE BERRE Mathis | 68 |
| 19 | CHROMY Kyle | 63 |
| 21 | THOMPSON Reuben | 66 |
| 25 | MACLEAN Logan | 65 |
| 28 | SEMPERENA OYARZABAL Telmo | 70 |
| 33 | STEVANT Malo | 65 |
| 37 | BOLGIANI Gabriel | 61 |
| 47 | VERSCHUREN Killian | 54 |
| 67 | WOOD George | 64 |
| 71 | DE BRUIN Tjalle | 64 |
| 74 | MAHOUDO Nolann | 61 |