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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Wadecki
1
70 kgSapa
2
82 kgPawlak
4
73 kgRomanik
7
62 kgZamana
9
74 kgLisowicz
10
85 kg
1
70 kgSapa
2
82 kgPawlak
4
73 kgRomanik
7
62 kgZamana
9
74 kgLisowicz
10
85 kg
Weight (KG) →
Result →
85
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WADECKI Piotr | 70 |
| 2 | SAPA Marcin | 82 |
| 4 | PAWLAK Wojciech | 73 |
| 7 | ROMANIK Radosław | 62 |
| 9 | ZAMANA Cezary | 74 |
| 10 | LISOWICZ Tomasz | 85 |