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 + 43
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Marin
3
67 kgMatysiak
9
71 kgKiendyś
18
78 kgRogina
23
70 kgMazur
27
73 kgMarczyński
29
70 kgRaboň
31
74 kgPrzydział
34
80 kgKarczyński
35
66 kgPawlak
39
73 kgMickiewicz
41
74 kgLisowicz
42
85 kgDuijn
49
73 kgTaciak
50
68 kgHoffmann
54
65 kgPiątek
71
71 kgGołaś
76
65 kgBodnar
84
68 kgZamana
96
74 kgHuzarski
97
69 kgSapa
100
82 kg
3
67 kgMatysiak
9
71 kgKiendyś
18
78 kgRogina
23
70 kgMazur
27
73 kgMarczyński
29
70 kgRaboň
31
74 kgPrzydział
34
80 kgKarczyński
35
66 kgPawlak
39
73 kgMickiewicz
41
74 kgLisowicz
42
85 kgDuijn
49
73 kgTaciak
50
68 kgHoffmann
54
65 kgPiątek
71
71 kgGołaś
76
65 kgBodnar
84
68 kgZamana
96
74 kgHuzarski
97
69 kgSapa
100
82 kg
Weight (KG) →
Result →
85
65
3
100
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MARIN Matej | 67 |
| 9 | MATYSIAK Bartłomiej | 71 |
| 18 | KIENDYŚ Tomasz | 78 |
| 23 | ROGINA Radoslav | 70 |
| 27 | MAZUR Peter | 73 |
| 29 | MARCZYŃSKI Tomasz | 70 |
| 31 | RABOŇ František | 74 |
| 34 | PRZYDZIAŁ Piotr | 80 |
| 35 | KARCZYŃSKI Marcin | 66 |
| 39 | PAWLAK Wojciech | 73 |
| 41 | MICKIEWICZ Jacek | 74 |
| 42 | LISOWICZ Tomasz | 85 |
| 49 | DUIJN Huub | 73 |
| 50 | TACIAK Mateusz | 68 |
| 54 | HOFFMANN Erik | 65 |
| 71 | PIĄTEK Zbigniew | 71 |
| 76 | GOŁAŚ Michał | 65 |
| 84 | BODNAR Łukasz | 68 |
| 96 | ZAMANA Cezary | 74 |
| 97 | HUZARSKI Bartosz | 69 |
| 100 | SAPA Marcin | 82 |