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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Saronni
2
65 kgMoser
4
79 kgFernández
6
68 kgHinault
8
62 kgLeMond
10
67 kg
2
65 kgMoser
4
79 kgFernández
6
68 kgHinault
8
62 kgLeMond
10
67 kg
Weight (KG) →
Result →
79
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SARONNI Giuseppe | 65 |
| 4 | MOSER Francesco | 79 |
| 6 | FERNÁNDEZ Juan | 68 |
| 8 | HINAULT Bernard | 62 |
| 10 | LEMOND Greg | 67 |