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 = -0.3 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Lutsenko
1
74 kgChristen
2
60 kgVoisard
3
56 kgPeñalver
4
67 kgMalucelli
6
68 kgZanoncello
7
64 kgUlissi
9
63 kgBennett
10
58 kgSivakov
11
70 kgYates
12
58 kgKanter
13
68 kgPozzovivo
14
53 kgReichenbach
15
64 kgDouble
17
56 kgCarboni
18
61 kgBrenner
20
59 kgSuaza
21
66 kgTonelli
24
64 kgConti
27
61 kgLock
28
58 kgStockman
29
67 kg
1
74 kgChristen
2
60 kgVoisard
3
56 kgPeñalver
4
67 kgMalucelli
6
68 kgZanoncello
7
64 kgUlissi
9
63 kgBennett
10
58 kgSivakov
11
70 kgYates
12
58 kgKanter
13
68 kgPozzovivo
14
53 kgReichenbach
15
64 kgDouble
17
56 kgCarboni
18
61 kgBrenner
20
59 kgSuaza
21
66 kgTonelli
24
64 kgConti
27
61 kgLock
28
58 kgStockman
29
67 kg
Weight (KG) →
Result →
74
53
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUTSENKO Alexey | 74 |
| 2 | CHRISTEN Jan | 60 |
| 3 | VOISARD Yannis | 56 |
| 4 | PEÑALVER Manuel | 67 |
| 6 | MALUCELLI Matteo | 68 |
| 7 | ZANONCELLO Enrico | 64 |
| 9 | ULISSI Diego | 63 |
| 10 | BENNETT George | 58 |
| 11 | SIVAKOV Pavel | 70 |
| 12 | YATES Adam | 58 |
| 13 | KANTER Max | 68 |
| 14 | POZZOVIVO Domenico | 53 |
| 15 | REICHENBACH Sébastien | 64 |
| 17 | DOUBLE Paul | 56 |
| 18 | CARBONI Giovanni | 61 |
| 20 | BRENNER Marco | 59 |
| 21 | SUAZA Bernardo | 66 |
| 24 | TONELLI Alessandro | 64 |
| 27 | CONTI Valerio | 61 |
| 28 | LOCK Dennis | 58 |
| 29 | STOCKMAN Abram | 67 |