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 + 20
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
McCann
1
73 kgSuzuki
3
57 kgJanse van Rensburg
5
63 kgEspiritu
28
56 kgGaledo
30
58 kgSuzuki
48
60 kgHatanaka
52
72 kg
1
73 kgSuzuki
3
57 kgJanse van Rensburg
5
63 kgEspiritu
28
56 kgGaledo
30
58 kgSuzuki
48
60 kgHatanaka
52
72 kg
Weight (KG) →
Result →
73
56
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCANN David | 73 |
| 3 | SUZUKI Yuzuru | 57 |
| 5 | JANSE VAN RENSBURG Jacques | 63 |
| 28 | ESPIRITU Victor | 56 |
| 30 | GALEDO Mark John Lexer | 58 |
| 48 | SUZUKI Shinri | 60 |
| 52 | HATANAKA Yusuke | 72 |