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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Elli
1
71 kgJalabert
4
66 kgZanette
5
82 kgHeulot
8
69 kgHoffman
10
80 kg
1
71 kgJalabert
4
66 kgZanette
5
82 kgHeulot
8
69 kgHoffman
10
80 kg
Weight (KG) →
Result →
82
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ELLI Alberto | 71 |
| 4 | JALABERT Laurent | 66 |
| 5 | ZANETTE Denis | 82 |
| 8 | HEULOT Stéphane | 69 |
| 10 | HOFFMAN Tristan | 80 |