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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Domínguez
1
67 kgAlonso
2
70 kgInduráin
3
76 kgMujika
4
73 kgSchepers
5
60 kgElliott
5
76 kgYates
5
74 kgWeltz
5
65 kgKelly
6
77 kgEarley
6
62 kgVilamajo
7
70 kgChiappucci
8
67 kgFernández
10
68 kgHerrera
11
57 kgEnríquez
12
65 kgNavarro
14
77 kgIlegems
17
74 kgPeeters
17
76 kg
1
67 kgAlonso
2
70 kgInduráin
3
76 kgMujika
4
73 kgSchepers
5
60 kgElliott
5
76 kgYates
5
74 kgWeltz
5
65 kgKelly
6
77 kgEarley
6
62 kgVilamajo
7
70 kgChiappucci
8
67 kgFernández
10
68 kgHerrera
11
57 kgEnríquez
12
65 kgNavarro
14
77 kgIlegems
17
74 kgPeeters
17
76 kg
Weight (KG) →
Result →
77
57
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOMÍNGUEZ Manuel Jorge | 67 |
| 2 | ALONSO Marino | 70 |
| 3 | INDURÁIN Miguel | 76 |
| 4 | MUJIKA Jokin | 73 |
| 5 | SCHEPERS Eddy | 60 |
| 5 | ELLIOTT Malcolm | 76 |
| 5 | YATES Sean | 74 |
| 5 | WELTZ Johnny | 65 |
| 6 | KELLY Sean | 77 |
| 6 | EARLEY Martin | 62 |
| 7 | VILAMAJO Jaime | 70 |
| 8 | CHIAPPUCCI Claudio | 67 |
| 10 | FERNÁNDEZ Juan | 68 |
| 11 | HERRERA Luis Alberto | 57 |
| 12 | ENRÍQUEZ Félipe | 65 |
| 14 | NAVARRO Francisco | 77 |
| 17 | ILEGEMS Roger | 74 |
| 17 | PEETERS Wilfried | 76 |