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 + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Lutsenko
1
74 kgSivakov
2
70 kgBennett
3
58 kgVoisard
4
56 kgUlissi
5
63 kgChristen
6
60 kgPeñalver
7
67 kgMalucelli
9
68 kgZanoncello
10
64 kgYates
12
58 kgCarboni
13
61 kgPozzovivo
14
53 kgReichenbach
15
64 kgDouble
16
56 kgBrenner
18
59 kgConti
19
61 kgSuaza
21
66 kgTonelli
23
64 kgStockman
26
67 kgLock
27
58 kg
1
74 kgSivakov
2
70 kgBennett
3
58 kgVoisard
4
56 kgUlissi
5
63 kgChristen
6
60 kgPeñalver
7
67 kgMalucelli
9
68 kgZanoncello
10
64 kgYates
12
58 kgCarboni
13
61 kgPozzovivo
14
53 kgReichenbach
15
64 kgDouble
16
56 kgBrenner
18
59 kgConti
19
61 kgSuaza
21
66 kgTonelli
23
64 kgStockman
26
67 kgLock
27
58 kg
Weight (KG) →
Result →
74
53
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUTSENKO Alexey | 74 |
| 2 | SIVAKOV Pavel | 70 |
| 3 | BENNETT George | 58 |
| 4 | VOISARD Yannis | 56 |
| 5 | ULISSI Diego | 63 |
| 6 | CHRISTEN Jan | 60 |
| 7 | PEÑALVER Manuel | 67 |
| 9 | MALUCELLI Matteo | 68 |
| 10 | ZANONCELLO Enrico | 64 |
| 12 | YATES Adam | 58 |
| 13 | CARBONI Giovanni | 61 |
| 14 | POZZOVIVO Domenico | 53 |
| 15 | REICHENBACH Sébastien | 64 |
| 16 | DOUBLE Paul | 56 |
| 18 | BRENNER Marco | 59 |
| 19 | CONTI Valerio | 61 |
| 21 | SUAZA Bernardo | 66 |
| 23 | TONELLI Alessandro | 64 |
| 26 | STOCKMAN Abram | 67 |
| 27 | LOCK Dennis | 58 |