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 = -0.8 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Duclos-Lassalle
3
73 kgSutter
5
70 kgNilsson
8
63 kgZoetemelk
9
68 kgDemierre
11
70 kgMartin
17
62 kgFernández
18
68 kg
3
73 kgSutter
5
70 kgNilsson
8
63 kgZoetemelk
9
68 kgDemierre
11
70 kgMartin
17
62 kgFernández
18
68 kg
Weight (KG) →
Result →
73
62
3
18
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DUCLOS-LASSALLE Gilbert | 73 |
| 5 | SUTTER Ueli | 70 |
| 8 | NILSSON Sven-Åke | 63 |
| 9 | ZOETEMELK Joop | 68 |
| 11 | DEMIERRE Serge | 70 |
| 17 | MARTIN Raymond | 62 |
| 18 | FERNÁNDEZ Juan | 68 |