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 = 1.5 * weight - 87
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Romanik
1
62 kgZamana
2
74 kgPrzydział
5
80 kgRaboň
6
74 kgHuzarski
7
69 kgFirsanov
8
58 kgMironov
9
68 kgChmielewski
11
72 kgPiątek
12
71 kgWadecki
14
70 kgMazur
16
73 kgWitecki
20
70 kgRiška
34
73 kgKiendyś
38
78 kgBodnar
40
68 kgPawlak
42
73 kgLisowicz
45
85 kgWagner
46
75 kgBengsch
51
85 kgMartin
59
75 kg
1
62 kgZamana
2
74 kgPrzydział
5
80 kgRaboň
6
74 kgHuzarski
7
69 kgFirsanov
8
58 kgMironov
9
68 kgChmielewski
11
72 kgPiątek
12
71 kgWadecki
14
70 kgMazur
16
73 kgWitecki
20
70 kgRiška
34
73 kgKiendyś
38
78 kgBodnar
40
68 kgPawlak
42
73 kgLisowicz
45
85 kgWagner
46
75 kgBengsch
51
85 kgMartin
59
75 kg
Weight (KG) →
Result →
85
58
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMANIK Radosław | 62 |
| 2 | ZAMANA Cezary | 74 |
| 5 | PRZYDZIAŁ Piotr | 80 |
| 6 | RABOŇ František | 74 |
| 7 | HUZARSKI Bartosz | 69 |
| 8 | FIRSANOV Sergey | 58 |
| 9 | MIRONOV Alexander | 68 |
| 11 | CHMIELEWSKI Piotr | 72 |
| 12 | PIĄTEK Zbigniew | 71 |
| 14 | WADECKI Piotr | 70 |
| 16 | MAZUR Peter | 73 |
| 20 | WITECKI Mariusz | 70 |
| 34 | RIŠKA Martin | 73 |
| 38 | KIENDYŚ Tomasz | 78 |
| 40 | BODNAR Łukasz | 68 |
| 42 | PAWLAK Wojciech | 73 |
| 45 | LISOWICZ Tomasz | 85 |
| 46 | WAGNER Robert | 75 |
| 51 | BENGSCH Robert | 85 |
| 59 | MARTIN Tony | 75 |