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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Torres
1
63.5 kgKudus
3
58 kgQuéméneur
7
67 kgNatarov
9
68 kgMugisha
10
58 kgHudry
11
57 kg
1
63.5 kgKudus
3
58 kgQuéméneur
7
67 kgNatarov
9
68 kgMugisha
10
58 kgHudry
11
57 kg
Weight (KG) →
Result →
68
57
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TORRES Pablo | 63.5 |
| 3 | KUDUS Merhawi | 58 |
| 7 | QUÉMÉNEUR Perrig | 67 |
| 9 | NATAROV Yuriy | 68 |
| 10 | MUGISHA Moise | 58 |
| 11 | HUDRY Florian | 57 |