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.
Mazur
1
73 kgHuzarski
2
69 kgPrzydział
4
80 kgBodnar
5
68 kgLisowicz
7
85 kgZamana
8
74 kgBrożyna
9
65 kgWadecki
11
70 kgPawlak
12
73 kgChmielewski
14
72 kgNiemiec
15
62 kgWitecki
16
70 kgKiendyś
18
78 kgTaciak
20
68 kgSapa
22
82 kgKohut
24
65 kgKrupa
26
74 kgMatysiak
30
71 kg
1
73 kgHuzarski
2
69 kgPrzydział
4
80 kgBodnar
5
68 kgLisowicz
7
85 kgZamana
8
74 kgBrożyna
9
65 kgWadecki
11
70 kgPawlak
12
73 kgChmielewski
14
72 kgNiemiec
15
62 kgWitecki
16
70 kgKiendyś
18
78 kgTaciak
20
68 kgSapa
22
82 kgKohut
24
65 kgKrupa
26
74 kgMatysiak
30
71 kg
Weight (KG) →
Result →
85
62
1
30
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAZUR Peter | 73 |
| 2 | HUZARSKI Bartosz | 69 |
| 4 | PRZYDZIAŁ Piotr | 80 |
| 5 | BODNAR Łukasz | 68 |
| 7 | LISOWICZ Tomasz | 85 |
| 8 | ZAMANA Cezary | 74 |
| 9 | BROŻYNA Tomasz | 65 |
| 11 | WADECKI Piotr | 70 |
| 12 | PAWLAK Wojciech | 73 |
| 14 | CHMIELEWSKI Piotr | 72 |
| 15 | NIEMIEC Przemysław | 62 |
| 16 | WITECKI Mariusz | 70 |
| 18 | KIENDYŚ Tomasz | 78 |
| 20 | TACIAK Mateusz | 68 |
| 22 | SAPA Marcin | 82 |
| 24 | KOHUT Sławomir | 65 |
| 26 | KRUPA Dawid | 74 |
| 30 | MATYSIAK Bartłomiej | 71 |