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 = 14.1 * weight - 264
This means that on average for every extra kilogram weight a rider loses 14.1 positions in the result.
Skibby
1
70 kgSciandri
2
75 kgRué
3
74 kgGianetti
7
62 kgWeltz
9
65 kgden Bakker
990
71 kgFondriest
990
70 kgKonyshev
990
77 kgVanderaerden
990
74 kgInduráin
990
76 kgSunderland
990
65 kgBreukink
990
70 kgMauri
990
68 kgSolleveld
990
93 kgHodge
990
74 kgMujika
990
73 kgEscartín
990
61 kgJärmann
990
73 kgBramati
990
72 kgCordes
990
70 kg
1
70 kgSciandri
2
75 kgRué
3
74 kgGianetti
7
62 kgWeltz
9
65 kgden Bakker
990
71 kgFondriest
990
70 kgKonyshev
990
77 kgVanderaerden
990
74 kgInduráin
990
76 kgSunderland
990
65 kgBreukink
990
70 kgMauri
990
68 kgSolleveld
990
93 kgHodge
990
74 kgMujika
990
73 kgEscartín
990
61 kgJärmann
990
73 kgBramati
990
72 kgCordes
990
70 kg
Weight (KG) →
Result →
93
61
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | SKIBBY Jesper | 70 |
2 | SCIANDRI Maximilian | 75 |
3 | RUÉ Gérard | 74 |
7 | GIANETTI Mauro | 62 |
9 | WELTZ Johnny | 65 |
990 | DEN BAKKER Maarten | 71 |
990 | FONDRIEST Maurizio | 70 |
990 | KONYSHEV Dmitry | 77 |
990 | VANDERAERDEN Eric | 74 |
990 | INDURÁIN Miguel | 76 |
990 | SUNDERLAND Scott | 65 |
990 | BREUKINK Erik | 70 |
990 | MAURI Melchor | 68 |
990 | SOLLEVELD Gerrit | 93 |
990 | HODGE Stephen | 74 |
990 | MUJIKA Jokin | 73 |
990 | ESCARTÍN Fernando | 61 |
990 | JÄRMANN Rolf | 73 |
990 | BRAMATI Davide | 72 |
990 | CORDES Tom | 70 |