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 = 5.8 * weight + 343
This means that on average for every extra kilogram weight a rider loses 5.8 positions in the result.
Rué
1
74 kgInduráin
2
76 kgSunderland
3
65 kgRichard
5
67 kgSkibby
6
70 kgden Bakker
990
71 kgWeltz
990
65 kgFondriest
990
70 kgKonyshev
990
77 kgSciandri
990
75 kgVanderaerden
990
74 kgGianetti
990
62 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
74 kgInduráin
2
76 kgSunderland
3
65 kgRichard
5
67 kgSkibby
6
70 kgden Bakker
990
71 kgWeltz
990
65 kgFondriest
990
70 kgKonyshev
990
77 kgSciandri
990
75 kgVanderaerden
990
74 kgGianetti
990
62 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 | RUÉ Gérard | 74 |
2 | INDURÁIN Miguel | 76 |
3 | SUNDERLAND Scott | 65 |
5 | RICHARD Pascal | 67 |
6 | SKIBBY Jesper | 70 |
990 | DEN BAKKER Maarten | 71 |
990 | WELTZ Johnny | 65 |
990 | FONDRIEST Maurizio | 70 |
990 | KONYSHEV Dmitry | 77 |
990 | SCIANDRI Maximilian | 75 |
990 | VANDERAERDEN Eric | 74 |
990 | GIANETTI Mauro | 62 |
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 |