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 = 0.4 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Baldato
1
60 kgLombardi
3
73 kgJalabert
4
66 kgBartoli
5
65 kgZabel
6
69 kgEkimov
9
69 kgZülle
10
72 kg
1
60 kgLombardi
3
73 kgJalabert
4
66 kgBartoli
5
65 kgZabel
6
69 kgEkimov
9
69 kgZülle
10
72 kg
Weight (KG) →
Result →
73
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BALDATO Fabio | 60 |
| 3 | LOMBARDI Giovanni | 73 |
| 4 | JALABERT Laurent | 66 |
| 5 | BARTOLI Michele | 65 |
| 6 | ZABEL Erik | 69 |
| 9 | EKIMOV Viatcheslav | 69 |
| 10 | ZÜLLE Alex | 72 |