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 = 6.5 * weight - 422
This means that on average for every extra kilogram weight a rider loses 6.5 positions in the result.
Cabello
1
72 kgBaffi
3
70 kgBartoli
4
65 kgZabel
5
69 kgStenersen
65
70 kgArmstrong
91
72 kg
1
72 kgBaffi
3
70 kgBartoli
4
65 kgZabel
5
69 kgStenersen
65
70 kgArmstrong
91
72 kg
Weight (KG) →
Result →
72
65
1
91
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CABELLO Francisco | 72 |
| 3 | BAFFI Adriano | 70 |
| 4 | BARTOLI Michele | 65 |
| 5 | ZABEL Erik | 69 |
| 65 | STENERSEN Bjørn | 70 |
| 91 | ARMSTRONG Lance | 72 |