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 = -1.2 * weight + 116
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Laurance
1
63 kgKrijnsen
2
73 kgPortsmouth
5
70 kgvan Sintmaartensdijk
7
77 kgLe Berre
12
68 kgMijnsbergen
15
68 kgMahoudo
16
61 kgScott
17
66 kgChromy
18
63 kgSemperena Oyarzabal
22
70 kgThompson
26
66 kgMaclean
30
65 kgCostiou
33
64 kgCortjens
36
76 kgBolgiani
38
61 kgRoesems
39
70 kgWood
50
64 kgStevant
57
65 kgVerschuren
64
54 kgCailliau
99
61 kgde Bruin
105
64 kgBettendorff
117
74 kg
1
63 kgKrijnsen
2
73 kgPortsmouth
5
70 kgvan Sintmaartensdijk
7
77 kgLe Berre
12
68 kgMijnsbergen
15
68 kgMahoudo
16
61 kgScott
17
66 kgChromy
18
63 kgSemperena Oyarzabal
22
70 kgThompson
26
66 kgMaclean
30
65 kgCostiou
33
64 kgCortjens
36
76 kgBolgiani
38
61 kgRoesems
39
70 kgWood
50
64 kgStevant
57
65 kgVerschuren
64
54 kgCailliau
99
61 kgde Bruin
105
64 kgBettendorff
117
74 kg
Weight (KG) →
Result →
77
54
1
117
# | Rider | Weight (KG) |
---|---|---|
1 | LAURANCE Axel | 63 |
2 | KRIJNSEN Jelte | 73 |
5 | PORTSMOUTH Tom | 70 |
7 | VAN SINTMAARTENSDIJK Roel | 77 |
12 | LE BERRE Mathis | 68 |
15 | MIJNSBERGEN Thomas | 68 |
16 | MAHOUDO Nolann | 61 |
17 | SCOTT Jared | 66 |
18 | CHROMY Kyle | 63 |
22 | SEMPERENA OYARZABAL Telmo | 70 |
26 | THOMPSON Reuben | 66 |
30 | MACLEAN Logan | 65 |
33 | COSTIOU Ewen | 64 |
36 | CORTJENS Ryan | 76 |
38 | BOLGIANI Gabriel | 61 |
39 | ROESEMS Siebe | 70 |
50 | WOOD George | 64 |
57 | STEVANT Malo | 65 |
64 | VERSCHUREN Killian | 54 |
99 | CAILLIAU Taïno | 61 |
105 | DE BRUIN Tjalle | 64 |
117 | BETTENDORFF Loïc | 74 |