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 = -0.1 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Stalder
1
58 kgSchleck
2
68 kgReus
3
70 kgBrajkovič
4
60 kgClement
5
66 kgVogel
6
66 kgDietziker
7
67 kgKozontchuk
10
75 kgGreipel
12
80 kgHeijboer
13
78 kgKlostergaard
17
69 kgBole
18
69 kgMorabito
21
74 kgRuss
24
62 kgFirsanov
27
58 kgStrgar
28
62 kgSchwab
29
65 kgZahner
33
73 kgWagner
35
75 kgGottfried
43
60 kg
1
58 kgSchleck
2
68 kgReus
3
70 kgBrajkovič
4
60 kgClement
5
66 kgVogel
6
66 kgDietziker
7
67 kgKozontchuk
10
75 kgGreipel
12
80 kgHeijboer
13
78 kgKlostergaard
17
69 kgBole
18
69 kgMorabito
21
74 kgRuss
24
62 kgFirsanov
27
58 kgStrgar
28
62 kgSchwab
29
65 kgZahner
33
73 kgWagner
35
75 kgGottfried
43
60 kg
Weight (KG) →
Result →
80
58
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STALDER Florian | 58 |
| 2 | SCHLECK Andy | 68 |
| 3 | REUS Kai | 70 |
| 4 | BRAJKOVIČ Janez | 60 |
| 5 | CLEMENT Stef | 66 |
| 6 | VOGEL Florian | 66 |
| 7 | DIETZIKER Andreas | 67 |
| 10 | KOZONTCHUK Dmitry | 75 |
| 12 | GREIPEL André | 80 |
| 13 | HEIJBOER Mathieu | 78 |
| 17 | KLOSTERGAARD Kasper | 69 |
| 18 | BOLE Grega | 69 |
| 21 | MORABITO Steve | 74 |
| 24 | RUSS Matthias | 62 |
| 27 | FIRSANOV Sergey | 58 |
| 28 | STRGAR Matic | 62 |
| 29 | SCHWAB Hubert | 65 |
| 33 | ZAHNER Simon | 73 |
| 35 | WAGNER Robert | 75 |
| 43 | GOTTFRIED Alexander | 60 |