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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Guidi
1
73 kgCapelle
2
73 kgVogels
3
75 kgDetilloux
7
62 kgSimon
8
70 kgMori
9
77 kg
1
73 kgCapelle
2
73 kgVogels
3
75 kgDetilloux
7
62 kgSimon
8
70 kgMori
9
77 kg
Weight (KG) →
Result →
77
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GUIDI Fabrizio | 73 |
| 2 | CAPELLE Christophe | 73 |
| 3 | VOGELS Henk | 75 |
| 7 | DETILLOUX Christophe | 62 |
| 8 | SIMON François | 70 |
| 9 | MORI Massimiliano | 77 |