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 = 1.8 * weight - 77
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Kelly
1
77 kgDelgado
4
64 kgFignon
7
67 kgInduráin
10
76 kgSchepers
13
60 kgBreukink
17
70 kgRominger
18
65 kgGianetti
25
62 kgMadiot
30
68 kgWinnen
31
60 kgRoche
33
74 kgChiappucci
41
67 kgEarley
44
62 kgRué
45
74 kgJärmann
49
73 kgSergeant
51
76 kgBauer
53
72 kgde Rooij
58
69 kgCenghialta
77
73 kgBugno
96
68 kgWechselberger
101
71 kgElli
107
71 kgMujika
109
73 kgRiis
111
71 kg
1
77 kgDelgado
4
64 kgFignon
7
67 kgInduráin
10
76 kgSchepers
13
60 kgBreukink
17
70 kgRominger
18
65 kgGianetti
25
62 kgMadiot
30
68 kgWinnen
31
60 kgRoche
33
74 kgChiappucci
41
67 kgEarley
44
62 kgRué
45
74 kgJärmann
49
73 kgSergeant
51
76 kgBauer
53
72 kgde Rooij
58
69 kgCenghialta
77
73 kgBugno
96
68 kgWechselberger
101
71 kgElli
107
71 kgMujika
109
73 kgRiis
111
71 kg
Weight (KG) →
Result →
77
60
1
111
# | Rider | Weight (KG) |
---|---|---|
1 | KELLY Sean | 77 |
4 | DELGADO Pedro | 64 |
7 | FIGNON Laurent | 67 |
10 | INDURÁIN Miguel | 76 |
13 | SCHEPERS Eddy | 60 |
17 | BREUKINK Erik | 70 |
18 | ROMINGER Tony | 65 |
25 | GIANETTI Mauro | 62 |
30 | MADIOT Marc | 68 |
31 | WINNEN Peter | 60 |
33 | ROCHE Stephen | 74 |
41 | CHIAPPUCCI Claudio | 67 |
44 | EARLEY Martin | 62 |
45 | RUÉ Gérard | 74 |
49 | JÄRMANN Rolf | 73 |
51 | SERGEANT Marc | 76 |
53 | BAUER Steve | 72 |
58 | DE ROOIJ Theo | 69 |
77 | CENGHIALTA Bruno | 73 |
96 | BUGNO Gianni | 68 |
101 | WECHSELBERGER Helmut | 71 |
107 | ELLI Alberto | 71 |
109 | MUJIKA Jokin | 73 |
111 | RIIS Bjarne | 71 |