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 + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Martinello
2
71 kgKirsipuu
3
80 kgZberg
5
69 kgBouvard
8
70 kgMagnusson
9
70 kgBalducci
10
69 kg
2
71 kgKirsipuu
3
80 kgZberg
5
69 kgBouvard
8
70 kgMagnusson
9
70 kgBalducci
10
69 kg
Weight (KG) →
Result →
80
69
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MARTINELLO Silvio | 71 |
| 3 | KIRSIPUU Jaan | 80 |
| 5 | ZBERG Markus | 69 |
| 8 | BOUVARD Gilles | 70 |
| 9 | MAGNUSSON Glenn | 70 |
| 10 | BALDUCCI Gabriele | 69 |