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 - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Gilbert
1
75 kgVisconti
2
63 kgBertagnolli
3
63 kgMalacarne
4
63 kgRubiano
5
58 kgPozzovivo
6
53 kgPavarin
7
68 kgBertolini
8
63 kgMazzanti
9
64 kgSalerno
11
64 kgMarangoni
12
74 kgEvans
13
64 kgSoler
14
70 kgDuma
15
64 kgSella
16
54 kgEskov
17
73 kgChiarini
18
70 kgCaccia
19
70 kgImpey
21
72 kgPidgornyy
22
72 kgMontaguti
23
65 kgHuzarski
24
69 kg
1
75 kgVisconti
2
63 kgBertagnolli
3
63 kgMalacarne
4
63 kgRubiano
5
58 kgPozzovivo
6
53 kgPavarin
7
68 kgBertolini
8
63 kgMazzanti
9
64 kgSalerno
11
64 kgMarangoni
12
74 kgEvans
13
64 kgSoler
14
70 kgDuma
15
64 kgSella
16
54 kgEskov
17
73 kgChiarini
18
70 kgCaccia
19
70 kgImpey
21
72 kgPidgornyy
22
72 kgMontaguti
23
65 kgHuzarski
24
69 kg
Weight (KG) →
Result →
75
53
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GILBERT Philippe | 75 |
| 2 | VISCONTI Giovanni | 63 |
| 3 | BERTAGNOLLI Leonardo | 63 |
| 4 | MALACARNE Davide | 63 |
| 5 | RUBIANO Miguel Angel | 58 |
| 6 | POZZOVIVO Domenico | 53 |
| 7 | PAVARIN Marcello | 68 |
| 8 | BERTOLINI Alessandro | 63 |
| 9 | MAZZANTI Luca | 64 |
| 11 | SALERNO Cristiano | 64 |
| 12 | MARANGONI Alan | 74 |
| 13 | EVANS Cadel | 64 |
| 14 | SOLER Juan Mauricio | 70 |
| 15 | DUMA Vladimir | 64 |
| 16 | SELLA Emanuele | 54 |
| 17 | ESKOV Nikita | 73 |
| 18 | CHIARINI Riccardo | 70 |
| 19 | CACCIA Diego | 70 |
| 21 | IMPEY Daryl | 72 |
| 22 | PIDGORNYY Ruslan | 72 |
| 23 | MONTAGUTI Matteo | 65 |
| 24 | HUZARSKI Bartosz | 69 |