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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Papok
1
76 kgJaniaczyk
3
68 kgStępniak
5
75 kgWillwohl
6
67 kgOwsian
8
66 kgVasilyev
9
70 kgZieliński
10
61 kg
1
76 kgJaniaczyk
3
68 kgStępniak
5
75 kgWillwohl
6
67 kgOwsian
8
66 kgVasilyev
9
70 kgZieliński
10
61 kg
Weight (KG) →
Result →
76
61
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAPOK Siarhei | 76 |
| 3 | JANIACZYK Błażej | 68 |
| 5 | STĘPNIAK Grzegorz | 75 |
| 6 | WILLWOHL Willi | 67 |
| 8 | OWSIAN Łukasz | 66 |
| 9 | VASILYEV Maksym | 70 |
| 10 | ZIELIńSKI Kamil | 61 |