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 = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Meyer
1
70 kgMollema
2
64 kgHesjedal
3
73 kgFrank
4
64 kgTerpstra
5
75 kgPinot
6
63 kgHaussler
7
74 kgRasmussen
8
88 kgTschopp
9
62 kgVerdugo
10
71 kgMartin
11
59 kgHollenstein
12
80 kgVisconti
13
63 kgKreuziger
14
65 kgKoch
15
69 kgScarponi
16
62 kgVelits
17
63 kgPozzovivo
18
53 kgTosatto
19
74 kgUlissi
20
63 kgMoser
21
64 kg
1
70 kgMollema
2
64 kgHesjedal
3
73 kgFrank
4
64 kgTerpstra
5
75 kgPinot
6
63 kgHaussler
7
74 kgRasmussen
8
88 kgTschopp
9
62 kgVerdugo
10
71 kgMartin
11
59 kgHollenstein
12
80 kgVisconti
13
63 kgKreuziger
14
65 kgKoch
15
69 kgScarponi
16
62 kgVelits
17
63 kgPozzovivo
18
53 kgTosatto
19
74 kgUlissi
20
63 kgMoser
21
64 kg
Weight (KG) →
Result →
88
53
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEYER Cameron | 70 |
| 2 | MOLLEMA Bauke | 64 |
| 3 | HESJEDAL Ryder | 73 |
| 4 | FRANK Mathias | 64 |
| 5 | TERPSTRA Niki | 75 |
| 6 | PINOT Thibaut | 63 |
| 7 | HAUSSLER Heinrich | 74 |
| 8 | RASMUSSEN Alex | 88 |
| 9 | TSCHOPP Johann | 62 |
| 10 | VERDUGO Gorka | 71 |
| 11 | MARTIN Dan | 59 |
| 12 | HOLLENSTEIN Reto | 80 |
| 13 | VISCONTI Giovanni | 63 |
| 14 | KREUZIGER Roman | 65 |
| 15 | KOCH Michel | 69 |
| 16 | SCARPONI Michele | 62 |
| 17 | VELITS Peter | 63 |
| 18 | POZZOVIVO Domenico | 53 |
| 19 | TOSATTO Matteo | 74 |
| 20 | ULISSI Diego | 63 |
| 21 | MOSER Moreno | 64 |