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.
Pirazzi
1
62 kgRybakov
2
65 kgDe Greef
7
77 kgVantornout
8
69 kgŠtybar
11
68 kg
1
62 kgRybakov
2
65 kgDe Greef
7
77 kgVantornout
8
69 kgŠtybar
11
68 kg
Weight (KG) →
Result →
77
62
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIRAZZI Stefano | 62 |
| 2 | RYBAKOV Alexander | 65 |
| 7 | DE GREEF Francis | 77 |
| 8 | VANTORNOUT Klaas | 69 |
| 11 | ŠTYBAR Zdeněk | 68 |