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 - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Piccoli
1
64 kgAndreu
3
77 kgMcGrory
4
73 kgGuidi
5
73 kgSimon
7
70 kgLudewig
8
75 kgJemison
9
71 kg
1
64 kgAndreu
3
77 kgMcGrory
4
73 kgGuidi
5
73 kgSimon
7
70 kgLudewig
8
75 kgJemison
9
71 kg
Weight (KG) →
Result →
77
64
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PICCOLI Mariano | 64 |
| 3 | ANDREU Frankie | 77 |
| 4 | MCGRORY Scott | 73 |
| 5 | GUIDI Fabrizio | 73 |
| 7 | SIMON François | 70 |
| 8 | LUDEWIG Jörg | 75 |
| 9 | JEMISON Marty | 71 |