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 = 0.8 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Tonkov
2
70 kgSgambelluri
5
63 kgAtienza
6
60 kgBettini
7
58 kgPiccoli
10
64 kgDonati
11
75 kgValoti
13
64 kgDuma
14
64 kgPetacchi
15
70 kgCelestino
24
67 kgKonyshev
25
77 kgSypytkowski
27
76 kgFerrari
29
74 kgShefer
30
68 kgHorner
31
70 kgRumšas
33
64 kgBrożyna
34
65 kgPiątek
35
71 kg
2
70 kgSgambelluri
5
63 kgAtienza
6
60 kgBettini
7
58 kgPiccoli
10
64 kgDonati
11
75 kgValoti
13
64 kgDuma
14
64 kgPetacchi
15
70 kgCelestino
24
67 kgKonyshev
25
77 kgSypytkowski
27
76 kgFerrari
29
74 kgShefer
30
68 kgHorner
31
70 kgRumšas
33
64 kgBrożyna
34
65 kgPiątek
35
71 kg
Weight (KG) →
Result →
77
58
2
35
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TONKOV Pavel | 70 |
| 5 | SGAMBELLURI Roberto | 63 |
| 6 | ATIENZA Daniel | 60 |
| 7 | BETTINI Paolo | 58 |
| 10 | PICCOLI Mariano | 64 |
| 11 | DONATI Massimo | 75 |
| 13 | VALOTI Paolo | 64 |
| 14 | DUMA Vladimir | 64 |
| 15 | PETACCHI Alessandro | 70 |
| 24 | CELESTINO Mirko | 67 |
| 25 | KONYSHEV Dmitry | 77 |
| 27 | SYPYTKOWSKI Andrzej | 76 |
| 29 | FERRARI Diego | 74 |
| 30 | SHEFER Alexandre | 68 |
| 31 | HORNER Chris | 70 |
| 33 | RUMŠAS Raimondas | 64 |
| 34 | BROŻYNA Tomasz | 65 |
| 35 | PIĄTEK Zbigniew | 71 |