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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Rinero
1
65 kgMenchov
2
65 kgElmiger
3
73 kgO'Grady
4
73 kgHalgand
5
67 kgSassone
6
75 kgTrentin
7
65 kgRutkiewicz
9
66 kgFédrigo
10
66 kgHinault
12
63 kgPoilvet
13
71 kgLhuillier
14
69 kgLoder
15
62 kgPlaza
17
77 kgSimon
18
70 kgOriol
19
65 kgRobin
20
63 kgTessier
21
70 kgJégou
22
71 kgGoubert
23
62 kgTurpin
24
57 kg
1
65 kgMenchov
2
65 kgElmiger
3
73 kgO'Grady
4
73 kgHalgand
5
67 kgSassone
6
75 kgTrentin
7
65 kgRutkiewicz
9
66 kgFédrigo
10
66 kgHinault
12
63 kgPoilvet
13
71 kgLhuillier
14
69 kgLoder
15
62 kgPlaza
17
77 kgSimon
18
70 kgOriol
19
65 kgRobin
20
63 kgTessier
21
70 kgJégou
22
71 kgGoubert
23
62 kgTurpin
24
57 kg
Weight (KG) →
Result →
77
57
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RINERO Christophe | 65 |
| 2 | MENCHOV Denis | 65 |
| 3 | ELMIGER Martin | 73 |
| 4 | O'GRADY Stuart | 73 |
| 5 | HALGAND Patrice | 67 |
| 6 | SASSONE Robert | 75 |
| 7 | TRENTIN Guido | 65 |
| 9 | RUTKIEWICZ Marek | 66 |
| 10 | FÉDRIGO Pierrick | 66 |
| 12 | HINAULT Sébastien | 63 |
| 13 | POILVET Benoît | 71 |
| 14 | LHUILLIER Régis | 69 |
| 15 | LODER Thierry | 62 |
| 17 | PLAZA Rubén | 77 |
| 18 | SIMON François | 70 |
| 19 | ORIOL Christophe | 65 |
| 20 | ROBIN Jean-Cyril | 63 |
| 21 | TESSIER Jean-Michel | 70 |
| 22 | JÉGOU Lilian | 71 |
| 23 | GOUBERT Stéphane | 62 |
| 24 | TURPIN Ludovic | 57 |