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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Brard
1
74 kgMoreau
2
71 kgSeigneur
3
71 kgMorin
4
79 kgFinot
5
65 kgAuger
6
78 kgHeulot
7
69 kgChavanel
8
73 kgNeuville
9
85 kgMaignan
10
63 kgEstadieu
11
67 kgDurand
12
76 kgBassons
15
74 kgEdaleine
17
62 kgBrochard
18
68 kgBergès
20
68 kgDerepas
21
69 kgJoly
26
74 kg
1
74 kgMoreau
2
71 kgSeigneur
3
71 kgMorin
4
79 kgFinot
5
65 kgAuger
6
78 kgHeulot
7
69 kgChavanel
8
73 kgNeuville
9
85 kgMaignan
10
63 kgEstadieu
11
67 kgDurand
12
76 kgBassons
15
74 kgEdaleine
17
62 kgBrochard
18
68 kgBergès
20
68 kgDerepas
21
69 kgJoly
26
74 kg
Weight (KG) →
Result →
85
62
1
26
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRARD Florent | 74 |
| 2 | MOREAU Christophe | 71 |
| 3 | SEIGNEUR Eddy | 71 |
| 4 | MORIN Anthony | 79 |
| 5 | FINOT Frédéric | 65 |
| 6 | AUGER Guillaume | 78 |
| 7 | HEULOT Stéphane | 69 |
| 8 | CHAVANEL Sylvain | 73 |
| 9 | NEUVILLE Jerome | 85 |
| 10 | MAIGNAN Gilles | 63 |
| 11 | ESTADIEU Laurent | 67 |
| 12 | DURAND Jacky | 76 |
| 15 | BASSONS Christophe | 74 |
| 17 | EDALEINE Christophe | 62 |
| 18 | BROCHARD Laurent | 68 |
| 20 | BERGÈS Stéphane | 68 |
| 21 | DEREPAS David | 69 |
| 26 | JOLY Sébastien | 74 |