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 + 29
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Gradek
1
83 kgBodnar
2
77 kgWiśniowski
3
78 kgRekita
4
70 kgBrożyna
5
71 kgKrawczyk
6
79 kgKasperkiewicz
7
71 kgMaciejuk
8
78 kgKaczmarek
9
66 kgStaniszewski
10
77 kgKurek
11
80 kgSykala
12
72 kgPapierski
13
81 kgKostański
14
74 kgGałka
16
72 kgKuś
19
70 kgGórak
23
72 kgSoszka
24
85 kgProkopyszyn
28
68 kgBorowski
32
76 kg
1
83 kgBodnar
2
77 kgWiśniowski
3
78 kgRekita
4
70 kgBrożyna
5
71 kgKrawczyk
6
79 kgKasperkiewicz
7
71 kgMaciejuk
8
78 kgKaczmarek
9
66 kgStaniszewski
10
77 kgKurek
11
80 kgSykala
12
72 kgPapierski
13
81 kgKostański
14
74 kgGałka
16
72 kgKuś
19
70 kgGórak
23
72 kgSoszka
24
85 kgProkopyszyn
28
68 kgBorowski
32
76 kg
Weight (KG) →
Result →
85
66
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRADEK Kamil | 83 |
| 2 | BODNAR Maciej | 77 |
| 3 | WIŚNIOWSKI Łukasz | 78 |
| 4 | REKITA Szymon | 70 |
| 5 | BROŻYNA Piotr | 71 |
| 6 | KRAWCZYK Szymon | 79 |
| 7 | KASPERKIEWICZ Przemysław | 71 |
| 8 | MACIEJUK Filip | 78 |
| 9 | KACZMAREK Jakub | 66 |
| 10 | STANISZEWSKI Daniel | 77 |
| 11 | KUREK Adrian | 80 |
| 12 | SYKALA Wojciech | 72 |
| 13 | PAPIERSKI Damian | 81 |
| 14 | KOSTAŃSKI Mateusz | 74 |
| 16 | GAŁKA Michał | 72 |
| 19 | KUŚ Adam | 70 |
| 23 | GÓRAK Dominik | 72 |
| 24 | SOSZKA Jakub | 85 |
| 28 | PROKOPYSZYN Filip | 68 |
| 32 | BOROWSKI Sebastian | 76 |