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:
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Imboden
1
70 kgPiccoli
2
64 kgFrattini
3
60 kgTonkov
4
70 kgGotti
5
65 kgRebellin
9
63 kgBerzin
10
64 kgFondriest
11
70 kgCenghialta
12
73 kgNoè
13
65 kgGuerini
14
65 kgTotschnig
15
62 kgUgrumov
18
58 kgSimoni
20
59 kgRominger
21
65 kgBertolini
23
63 kgLafis
24
78 kgCasagrande
27
63 kgTafi
28
73 kgBugno
34
68 kg
1
70 kgPiccoli
2
64 kgFrattini
3
60 kgTonkov
4
70 kgGotti
5
65 kgRebellin
9
63 kgBerzin
10
64 kgFondriest
11
70 kgCenghialta
12
73 kgNoè
13
65 kgGuerini
14
65 kgTotschnig
15
62 kgUgrumov
18
58 kgSimoni
20
59 kgRominger
21
65 kgBertolini
23
63 kgLafis
24
78 kgCasagrande
27
63 kgTafi
28
73 kgBugno
34
68 kg
Weight (KG) →
Result →
78
58
1
34
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IMBODEN Heinz | 70 |
| 2 | PICCOLI Mariano | 64 |
| 3 | FRATTINI Francesco | 60 |
| 4 | TONKOV Pavel | 70 |
| 5 | GOTTI Ivan | 65 |
| 9 | REBELLIN Davide | 63 |
| 10 | BERZIN Evgeni | 64 |
| 11 | FONDRIEST Maurizio | 70 |
| 12 | CENGHIALTA Bruno | 73 |
| 13 | NOÈ Andrea | 65 |
| 14 | GUERINI Giuseppe | 65 |
| 15 | TOTSCHNIG Georg | 62 |
| 18 | UGRUMOV Piotr | 58 |
| 20 | SIMONI Gilberto | 59 |
| 21 | ROMINGER Tony | 65 |
| 23 | BERTOLINI Alessandro | 63 |
| 24 | LAFIS Michel | 78 |
| 27 | CASAGRANDE Filippo | 63 |
| 28 | TAFI Andrea | 73 |
| 34 | BUGNO Gianni | 68 |