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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Ponzi
1
63 kgKeukeleire
2
69 kgRoux
3
73 kgCataldo
4
64 kgNocentini
5
60 kgChernetski
6
63 kgVaugrenard
7
72 kgRatto
8
74 kgFinetto
9
62 kgCherel
10
65 kgRomero
11
55 kgCaruso
12
60 kgSánchez
13
65 kgEdet
14
60 kgVisconti
15
63 kgQuintana
16
58 kgDe Negri
17
61 kgVelasco
18
65 kg
1
63 kgKeukeleire
2
69 kgRoux
3
73 kgCataldo
4
64 kgNocentini
5
60 kgChernetski
6
63 kgVaugrenard
7
72 kgRatto
8
74 kgFinetto
9
62 kgCherel
10
65 kgRomero
11
55 kgCaruso
12
60 kgSánchez
13
65 kgEdet
14
60 kgVisconti
15
63 kgQuintana
16
58 kgDe Negri
17
61 kgVelasco
18
65 kg
Weight (KG) →
Result →
74
55
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PONZI Simone | 63 |
| 2 | KEUKELEIRE Jens | 69 |
| 3 | ROUX Anthony | 73 |
| 4 | CATALDO Dario | 64 |
| 5 | NOCENTINI Rinaldo | 60 |
| 6 | CHERNETSKI Sergei | 63 |
| 7 | VAUGRENARD Benoît | 72 |
| 8 | RATTO Daniele | 74 |
| 9 | FINETTO Mauro | 62 |
| 10 | CHEREL Mikaël | 65 |
| 11 | ROMERO Jeffry | 55 |
| 12 | CARUSO Giampaolo | 60 |
| 13 | SÁNCHEZ Samuel | 65 |
| 14 | EDET Nicolas | 60 |
| 15 | VISCONTI Giovanni | 63 |
| 16 | QUINTANA Nairo | 58 |
| 17 | DE NEGRI Pier Paolo | 61 |
| 18 | VELASCO Iván | 65 |