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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Fernández
2
68 kgDuclos-Lassalle
7
73 kgNilsson
9
63 kgMartin
10
62 kgDemierre
11
70 kgSutter
12
70 kgZoetemelk
15
68 kg
2
68 kgDuclos-Lassalle
7
73 kgNilsson
9
63 kgMartin
10
62 kgDemierre
11
70 kgSutter
12
70 kgZoetemelk
15
68 kg
Weight (KG) →
Result →
73
62
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FERNÁNDEZ Juan | 68 |
| 7 | DUCLOS-LASSALLE Gilbert | 73 |
| 9 | NILSSON Sven-Åke | 63 |
| 10 | MARTIN Raymond | 62 |
| 11 | DEMIERRE Serge | 70 |
| 12 | SUTTER Ueli | 70 |
| 15 | ZOETEMELK Joop | 68 |