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 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Celestino
2
67 kgDemarbaix
3
64 kgJan
4
62 kgVelo
6
70 kgPerque
8
78 kgBeuchat
9
62 kgLunghi
12
61 kgDe Waele
16
62 kgMifune
17
70 kgSuzuki
18
60 kgAbe
19
67 kgZucconi
21
63 kgMiura
22
67 kgSchnider
28
65 kgSacchi
30
68 kgKrafft
33
67 kgOrtenzi
37
78 kgFujita
38
58 kgDetilloux
40
62 kg
2
67 kgDemarbaix
3
64 kgJan
4
62 kgVelo
6
70 kgPerque
8
78 kgBeuchat
9
62 kgLunghi
12
61 kgDe Waele
16
62 kgMifune
17
70 kgSuzuki
18
60 kgAbe
19
67 kgZucconi
21
63 kgMiura
22
67 kgSchnider
28
65 kgSacchi
30
68 kgKrafft
33
67 kgOrtenzi
37
78 kgFujita
38
58 kgDetilloux
40
62 kg
Weight (KG) →
Result →
78
58
2
40
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CELESTINO Mirko | 67 |
| 3 | DEMARBAIX Sébastien | 64 |
| 4 | JAN Xavier | 62 |
| 6 | VELO Marco | 70 |
| 8 | PERQUE Franck | 78 |
| 9 | BEUCHAT Roger | 62 |
| 12 | LUNGHI Denis | 61 |
| 16 | DE WAELE Fabien | 62 |
| 17 | MIFUNE Masahiko | 70 |
| 18 | SUZUKI Shinri | 60 |
| 19 | ABE Yoshiyuki | 67 |
| 21 | ZUCCONI Pietro | 63 |
| 22 | MIURA Kyoshi | 67 |
| 28 | SCHNIDER Daniel | 65 |
| 30 | SACCHI Fabio | 68 |
| 33 | KRAFFT Stéphane | 67 |
| 37 | ORTENZI Gian Mario | 78 |
| 38 | FUJITA Kozo | 58 |
| 40 | DETILLOUX Christophe | 62 |