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 + 25
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Gradek
1
83 kgWiśniowski
3
78 kgStachowiak
4
62 kgBernas
6
77 kgStępniak
7
75 kgOwsian
11
66 kgPszczolarski
14
73 kg
1
83 kgWiśniowski
3
78 kgStachowiak
4
62 kgBernas
6
77 kgStępniak
7
75 kgOwsian
11
66 kgPszczolarski
14
73 kg
Weight (KG) →
Result →
83
62
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRADEK Kamil | 83 |
| 3 | WIŚNIOWSKI Łukasz | 78 |
| 4 | STACHOWIAK Adam | 62 |
| 6 | BERNAS Paweł | 77 |
| 7 | STĘPNIAK Grzegorz | 75 |
| 11 | OWSIAN Łukasz | 66 |
| 14 | PSZCZOLARSKI Wojciech | 73 |