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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hodge
1
74 kgLlaneras
1
65 kgMauri
1
68 kgJalabert
1
66 kgZülle
1
72 kgBruyneel
1
71 kgWeltz
1
65 kgBreukink
2
70 kgKoerts
2
78 kgden Bakker
2
71 kgUgrumov
3
58 kgElliott
3
76 kgRominger
4
65 kgEscartín
4
61 kgInduráin
5
76 kgAlonso
5
70 kgGarmendia
5
68 kgDelgado
5
64 kgBugno
6
68 kgMujika
7
73 kgEdo
8
64 kgZarrabeitia
9
63 kgMurguialday
9
58 kgFondriest
12
70 kg
1
74 kgLlaneras
1
65 kgMauri
1
68 kgJalabert
1
66 kgZülle
1
72 kgBruyneel
1
71 kgWeltz
1
65 kgBreukink
2
70 kgKoerts
2
78 kgden Bakker
2
71 kgUgrumov
3
58 kgElliott
3
76 kgRominger
4
65 kgEscartín
4
61 kgInduráin
5
76 kgAlonso
5
70 kgGarmendia
5
68 kgDelgado
5
64 kgBugno
6
68 kgMujika
7
73 kgEdo
8
64 kgZarrabeitia
9
63 kgMurguialday
9
58 kgFondriest
12
70 kg
Weight (KG) →
Result →
78
58
1
12
# | Rider | Weight (KG) |
---|---|---|
1 | HODGE Stephen | 74 |
1 | LLANERAS Juan | 65 |
1 | MAURI Melchor | 68 |
1 | JALABERT Laurent | 66 |
1 | ZÜLLE Alex | 72 |
1 | BRUYNEEL Johan | 71 |
1 | WELTZ Johnny | 65 |
2 | BREUKINK Erik | 70 |
2 | KOERTS Jans | 78 |
2 | DEN BAKKER Maarten | 71 |
3 | UGRUMOV Piotr | 58 |
3 | ELLIOTT Malcolm | 76 |
4 | ROMINGER Tony | 65 |
4 | ESCARTÍN Fernando | 61 |
5 | INDURÁIN Miguel | 76 |
5 | ALONSO Marino | 70 |
5 | GARMENDIA Aitor | 68 |
5 | DELGADO Pedro | 64 |
6 | BUGNO Gianni | 68 |
7 | MUJIKA Jokin | 73 |
8 | EDO Ángel | 64 |
9 | ZARRABEITIA Mikel | 63 |
9 | MURGUIALDAY Javier | 58 |
12 | FONDRIEST Maurizio | 70 |