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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Paterski
1
73 kgRutkiewicz
2
66 kgStachowiak
3
62 kgZieliński
4
61 kgHník
5
57 kgOwsian
6
66 kgDomagalski
7
77 kgBernas
8
77 kgBrożyna
9
71 kgVasylyuk
10
65 kgPiaskowy
12
60 kgFranczak
13
63 kgGradek
14
83 kgStosz
15
70 kgMorajko
16
65 kgPodlaski
17
68 kgMccormick
18
72.5 kgButs
20
68 kgStewart
21
71 kgOram
23
68 kgPolnický
24
68 kg
1
73 kgRutkiewicz
2
66 kgStachowiak
3
62 kgZieliński
4
61 kgHník
5
57 kgOwsian
6
66 kgDomagalski
7
77 kgBernas
8
77 kgBrożyna
9
71 kgVasylyuk
10
65 kgPiaskowy
12
60 kgFranczak
13
63 kgGradek
14
83 kgStosz
15
70 kgMorajko
16
65 kgPodlaski
17
68 kgMccormick
18
72.5 kgButs
20
68 kgStewart
21
71 kgOram
23
68 kgPolnický
24
68 kg
Weight (KG) →
Result →
83
57
1
24
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PATERSKI Maciej | 73 |
| 2 | RUTKIEWICZ Marek | 66 |
| 3 | STACHOWIAK Adam | 62 |
| 4 | ZIELIńSKI Kamil | 61 |
| 5 | HNÍK Karel | 57 |
| 6 | OWSIAN Łukasz | 66 |
| 7 | DOMAGALSKI Karol | 77 |
| 8 | BERNAS Paweł | 77 |
| 9 | BROŻYNA Piotr | 71 |
| 10 | VASYLYUK Andriy | 65 |
| 12 | PIASKOWY Emanuel | 60 |
| 13 | FRANCZAK Paweł | 63 |
| 14 | GRADEK Kamil | 83 |
| 15 | STOSZ Patryk | 70 |
| 16 | MORAJKO Jacek | 65 |
| 17 | PODLASKI Michał | 68 |
| 18 | MCCORMICK Hayden | 72.5 |
| 20 | BUTS Vitaliy | 68 |
| 21 | STEWART Thomas | 71 |
| 23 | ORAM James | 68 |
| 24 | POLNICKÝ Jiří | 68 |