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 - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Ekimov
2
69 kgZberg
4
72 kgMejia
5
63 kgBugno
6
68 kgLeMond
8
67 kgBourguignon
9
72 kgKasputis
10
83 kg
2
69 kgZberg
4
72 kgMejia
5
63 kgBugno
6
68 kgLeMond
8
67 kgBourguignon
9
72 kgKasputis
10
83 kg
Weight (KG) →
Result →
83
63
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EKIMOV Viatcheslav | 69 |
| 4 | ZBERG Beat | 72 |
| 5 | MEJIA Alvaro | 63 |
| 6 | BUGNO Gianni | 68 |
| 8 | LEMOND Greg | 67 |
| 9 | BOURGUIGNON Thierry | 72 |
| 10 | KASPUTIS Artūras | 83 |