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 = -0.7 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Riis
1
71 kgCapelle
3
73 kgSypytkowski
8
76 kgBruyneel
9
71 kgMadouas
16
70 kgSchepers
17
60 kgMarín
20
55 kg
1
71 kgCapelle
3
73 kgSypytkowski
8
76 kgBruyneel
9
71 kgMadouas
16
70 kgSchepers
17
60 kgMarín
20
55 kg
Weight (KG) →
Result →
76
55
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIIS Bjarne | 71 |
| 3 | CAPELLE Christophe | 73 |
| 8 | SYPYTKOWSKI Andrzej | 76 |
| 9 | BRUYNEEL Johan | 71 |
| 16 | MADOUAS Laurent | 70 |
| 17 | SCHEPERS Eddy | 60 |
| 20 | MARÍN Ruber Alveiro | 55 |