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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Benedetti
1
63 kgZurlo
2
70 kgConti
3
61 kgŠtybar
4
68 kgUlissi
5
63 kgAmador
6
73 kgVillella
7
66 kgBongiorno
8
56 kgPozzovivo
9
53 kgOliveira
10
67 kgFormolo
11
62 kgGonçalves
12
70 kgVilela
13
59 kgNibali
14
65 kgValverde
15
61 kgGatto
16
67 kgAgnoli
17
72 kgMihaylov
18
70 kgCecchinel
19
69 kgBoasson Hagen
20
75 kgVisconti
21
63 kgMas
22
69 kgHonkisz
23
61 kg
1
63 kgZurlo
2
70 kgConti
3
61 kgŠtybar
4
68 kgUlissi
5
63 kgAmador
6
73 kgVillella
7
66 kgBongiorno
8
56 kgPozzovivo
9
53 kgOliveira
10
67 kgFormolo
11
62 kgGonçalves
12
70 kgVilela
13
59 kgNibali
14
65 kgValverde
15
61 kgGatto
16
67 kgAgnoli
17
72 kgMihaylov
18
70 kgCecchinel
19
69 kgBoasson Hagen
20
75 kgVisconti
21
63 kgMas
22
69 kgHonkisz
23
61 kg
Weight (KG) →
Result →
75
53
1
23
# | Rider | Weight (KG) |
---|---|---|
1 | BENEDETTI Cesare | 63 |
2 | ZURLO Federico | 70 |
3 | CONTI Valerio | 61 |
4 | ŠTYBAR Zdeněk | 68 |
5 | ULISSI Diego | 63 |
6 | AMADOR Andrey | 73 |
7 | VILLELLA Davide | 66 |
8 | BONGIORNO Francesco Manuel | 56 |
9 | POZZOVIVO Domenico | 53 |
10 | OLIVEIRA Nelson | 67 |
11 | FORMOLO Davide | 62 |
12 | GONÇALVES Domingos | 70 |
13 | VILELA Ricardo | 59 |
14 | NIBALI Vincenzo | 65 |
15 | VALVERDE Alejandro | 61 |
16 | GATTO Oscar | 67 |
17 | AGNOLI Valerio | 72 |
18 | MIHAYLOV Nikolay | 70 |
19 | CECCHINEL Giorgio | 69 |
20 | BOASSON HAGEN Edvald | 75 |
21 | VISCONTI Giovanni | 63 |
22 | MAS Lluís | 69 |
23 | HONKISZ Adrian | 61 |