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 = 0.6 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Mauri
1
68 kgJalabert
2
66 kgGarmendia
3
68 kgFondriest
5
70 kgBreukink
7
70 kgChiappucci
9
67 kgMartinello
10
71 kgGarcía Casas
14
63 kgRodrigues
15
68 kgCasero
16
72 kgHamburger
18
58 kgGaumont
19
77 kgHodge
21
74 kgMeinert-Nielsen
22
73 kgMoreau
26
77 kgRous
27
70 kgDonati
30
75 kgJiménez
34
70 kgVoskamp
41
75 kgPlaza
42
68 kgOsa
43
64 kgden Bakker
44
71 kg
1
68 kgJalabert
2
66 kgGarmendia
3
68 kgFondriest
5
70 kgBreukink
7
70 kgChiappucci
9
67 kgMartinello
10
71 kgGarcía Casas
14
63 kgRodrigues
15
68 kgCasero
16
72 kgHamburger
18
58 kgGaumont
19
77 kgHodge
21
74 kgMeinert-Nielsen
22
73 kgMoreau
26
77 kgRous
27
70 kgDonati
30
75 kgJiménez
34
70 kgVoskamp
41
75 kgPlaza
42
68 kgOsa
43
64 kgden Bakker
44
71 kg
Weight (KG) →
Result →
77
58
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAURI Melchor | 68 |
| 2 | JALABERT Laurent | 66 |
| 3 | GARMENDIA Aitor | 68 |
| 5 | FONDRIEST Maurizio | 70 |
| 7 | BREUKINK Erik | 70 |
| 9 | CHIAPPUCCI Claudio | 67 |
| 10 | MARTINELLO Silvio | 71 |
| 14 | GARCÍA CASAS Félix Miguel | 63 |
| 15 | RODRIGUES Orlando Sergio | 68 |
| 16 | CASERO Ángel Luis | 72 |
| 18 | HAMBURGER Bo | 58 |
| 19 | GAUMONT Philippe | 77 |
| 21 | HODGE Stephen | 74 |
| 22 | MEINERT-NIELSEN Peter | 73 |
| 26 | MOREAU Francis | 77 |
| 27 | ROUS Didier | 70 |
| 30 | DONATI Massimo | 75 |
| 34 | JIMÉNEZ José María | 70 |
| 41 | VOSKAMP Bart | 75 |
| 42 | PLAZA David | 68 |
| 43 | OSA Aitor | 64 |
| 44 | DEN BAKKER Maarten | 71 |