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 = 0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Cipollini
1
77 kgBaldato
3
60 kgTeutenberg
4
66 kgDekker
5
66 kgSpruch
7
68 kgColombo
9
70 kgSivakov
11
72 kgNoè
13
65 kgSavoldelli
14
72 kgEkimov
15
69 kgBoogerd
16
62 kgAebersold
17
58 kgPeron
18
70 kgBaffi
21
70 kgScirea
25
80 kgBettini
26
58 kgRebellin
27
63 kgDi Grande
28
58 kgGuerini
44
65 kgGotti
53
65 kgPetito
56
78 kg
1
77 kgBaldato
3
60 kgTeutenberg
4
66 kgDekker
5
66 kgSpruch
7
68 kgColombo
9
70 kgSivakov
11
72 kgNoè
13
65 kgSavoldelli
14
72 kgEkimov
15
69 kgBoogerd
16
62 kgAebersold
17
58 kgPeron
18
70 kgBaffi
21
70 kgScirea
25
80 kgBettini
26
58 kgRebellin
27
63 kgDi Grande
28
58 kgGuerini
44
65 kgGotti
53
65 kgPetito
56
78 kg
Weight (KG) →
Result →
80
58
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 3 | BALDATO Fabio | 60 |
| 4 | TEUTENBERG Sven | 66 |
| 5 | DEKKER Erik | 66 |
| 7 | SPRUCH Zbigniew | 68 |
| 9 | COLOMBO Gabriele | 70 |
| 11 | SIVAKOV Alexei | 72 |
| 13 | NOÈ Andrea | 65 |
| 14 | SAVOLDELLI Paolo | 72 |
| 15 | EKIMOV Viatcheslav | 69 |
| 16 | BOOGERD Michael | 62 |
| 17 | AEBERSOLD Niki | 58 |
| 18 | PERON Andrea | 70 |
| 21 | BAFFI Adriano | 70 |
| 25 | SCIREA Mario | 80 |
| 26 | BETTINI Paolo | 58 |
| 27 | REBELLIN Davide | 63 |
| 28 | DI GRANDE Giuseppe | 58 |
| 44 | GUERINI Giuseppe | 65 |
| 53 | GOTTI Ivan | 65 |
| 56 | PETITO Roberto | 78 |