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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Lutsenko
1
74 kgBennett
2
58 kgUlissi
3
63 kgSivakov
4
70 kgYates
6
58 kgVoisard
7
56 kgCarboni
8
61 kgRaccani
9
64 kgTonelli
12
64 kgChristen
14
60 kgReichenbach
15
64 kgSuaza
16
66 kgTizza
17
58 kgDouble
18
56 kgBrenner
19
59 kgPozzovivo
20
53 kgStockman
21
67 kgLock
22
58 kg
1
74 kgBennett
2
58 kgUlissi
3
63 kgSivakov
4
70 kgYates
6
58 kgVoisard
7
56 kgCarboni
8
61 kgRaccani
9
64 kgTonelli
12
64 kgChristen
14
60 kgReichenbach
15
64 kgSuaza
16
66 kgTizza
17
58 kgDouble
18
56 kgBrenner
19
59 kgPozzovivo
20
53 kgStockman
21
67 kgLock
22
58 kg
Weight (KG) →
Result →
74
53
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUTSENKO Alexey | 74 |
| 2 | BENNETT George | 58 |
| 3 | ULISSI Diego | 63 |
| 4 | SIVAKOV Pavel | 70 |
| 6 | YATES Adam | 58 |
| 7 | VOISARD Yannis | 56 |
| 8 | CARBONI Giovanni | 61 |
| 9 | RACCANI Simone | 64 |
| 12 | TONELLI Alessandro | 64 |
| 14 | CHRISTEN Jan | 60 |
| 15 | REICHENBACH Sébastien | 64 |
| 16 | SUAZA Bernardo | 66 |
| 17 | TIZZA Marco | 58 |
| 18 | DOUBLE Paul | 56 |
| 19 | BRENNER Marco | 59 |
| 20 | POZZOVIVO Domenico | 53 |
| 21 | STOCKMAN Abram | 67 |
| 22 | LOCK Dennis | 58 |