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 = -0.6 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Duclos-Lassalle
3
73 kgNilsson
8
63 kgSutter
9
70 kgDemierre
10
70 kgFernández
11
68 kgZoetemelk
12
68 kgMartin
14
62 kg
3
73 kgNilsson
8
63 kgSutter
9
70 kgDemierre
10
70 kgFernández
11
68 kgZoetemelk
12
68 kgMartin
14
62 kg
Weight (KG) →
Result →
73
62
3
14
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DUCLOS-LASSALLE Gilbert | 73 |
| 8 | NILSSON Sven-Åke | 63 |
| 9 | SUTTER Ueli | 70 |
| 10 | DEMIERRE Serge | 70 |
| 11 | FERNÁNDEZ Juan | 68 |
| 12 | ZOETEMELK Joop | 68 |
| 14 | MARTIN Raymond | 62 |