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 = 0.4 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Foré
7
73 kgVan Looy
16
73 kgSimpson
30
69 kgJanssens
42
68 kgAnquetil
44
70 kgImpanis
45
69 kgVan Steenbergen
51
83 kg
7
73 kgVan Looy
16
73 kgSimpson
30
69 kgJanssens
42
68 kgAnquetil
44
70 kgImpanis
45
69 kgVan Steenbergen
51
83 kg
Weight (KG) →
Result →
83
68
7
51
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | FORÉ Noël | 73 |
| 16 | VAN LOOY Rik | 73 |
| 30 | SIMPSON Tom | 69 |
| 42 | JANSSENS Marcel | 68 |
| 44 | ANQUETIL Jacques | 70 |
| 45 | IMPANIS Raymond | 69 |
| 51 | VAN STEENBERGEN Rik | 83 |