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 + 11
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Kirsipuu
1
80 kgHondo
2
73 kgO'Grady
3
73 kgNazon
4
74 kgBaldato
5
60 kgKlemenčič
6
69 kgFornaciari
7
80 kgSimon
8
70 kgPlanckaert
9
70 kgHoffman
10
80 kgMartinello
12
71 kgGaumont
13
77 kgSteels
14
73 kgHincapie
16
83 kgBrochard
17
68 kgLombardi
18
73 kgKivilev
19
64 kgClinger
20
77 kg
1
80 kgHondo
2
73 kgO'Grady
3
73 kgNazon
4
74 kgBaldato
5
60 kgKlemenčič
6
69 kgFornaciari
7
80 kgSimon
8
70 kgPlanckaert
9
70 kgHoffman
10
80 kgMartinello
12
71 kgGaumont
13
77 kgSteels
14
73 kgHincapie
16
83 kgBrochard
17
68 kgLombardi
18
73 kgKivilev
19
64 kgClinger
20
77 kg
Weight (KG) →
Result →
83
60
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIRSIPUU Jaan | 80 |
| 2 | HONDO Danilo | 73 |
| 3 | O'GRADY Stuart | 73 |
| 4 | NAZON Jean-Patrick | 74 |
| 5 | BALDATO Fabio | 60 |
| 6 | KLEMENČIČ Zoran | 69 |
| 7 | FORNACIARI Paolo | 80 |
| 8 | SIMON François | 70 |
| 9 | PLANCKAERT Jo | 70 |
| 10 | HOFFMAN Tristan | 80 |
| 12 | MARTINELLO Silvio | 71 |
| 13 | GAUMONT Philippe | 77 |
| 14 | STEELS Tom | 73 |
| 16 | HINCAPIE George | 83 |
| 17 | BROCHARD Laurent | 68 |
| 18 | LOMBARDI Giovanni | 73 |
| 19 | KIVILEV Andrei | 64 |
| 20 | CLINGER David | 77 |