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 = -0.8 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Bodnar
1
77 kgBiałobłocki
2
79 kgKwiatkowski
3
68 kgMaciejuk
4
78 kgRekita
5
70 kgKurek
6
80 kgWiśniowski
7
78 kgTaciak
8
68 kgSajnok
10
75 kgStosz
11
70 kgRutkiewicz
12
66 kgBanaszek
13
75 kgMarycz
17
69 kgKaczmarek
18
66 kgKostański
19
74 kgSowinski
22
63 kgJakala
24
69 kg
1
77 kgBiałobłocki
2
79 kgKwiatkowski
3
68 kgMaciejuk
4
78 kgRekita
5
70 kgKurek
6
80 kgWiśniowski
7
78 kgTaciak
8
68 kgSajnok
10
75 kgStosz
11
70 kgRutkiewicz
12
66 kgBanaszek
13
75 kgMarycz
17
69 kgKaczmarek
18
66 kgKostański
19
74 kgSowinski
22
63 kgJakala
24
69 kg
Weight (KG) →
Result →
80
63
1
24
# | Rider | Weight (KG) |
---|---|---|
1 | BODNAR Maciej | 77 |
2 | BIAŁOBŁOCKI Marcin | 79 |
3 | KWIATKOWSKI Michał | 68 |
4 | MACIEJUK Filip | 78 |
5 | REKITA Szymon | 70 |
6 | KUREK Adrian | 80 |
7 | WIŚNIOWSKI Łukasz | 78 |
8 | TACIAK Mateusz | 68 |
10 | SAJNOK Szymon | 75 |
11 | STOSZ Patryk | 70 |
12 | RUTKIEWICZ Marek | 66 |
13 | BANASZEK Alan | 75 |
17 | MARYCZ Jarosław | 69 |
18 | KACZMAREK Jakub | 66 |
19 | KOSTAŃSKI Mateusz | 74 |
22 | SOWINSKI Artur | 63 |
24 | JAKALA Jakub | 69 |