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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Sukhoruchenkov
1
72 kgAverin
4
69 kgNajjari
7
68 kgMadiot
9
68 kgNevens
10
58 kg
1
72 kgAverin
4
69 kgNajjari
7
68 kgMadiot
9
68 kgNevens
10
58 kg
Weight (KG) →
Result →
72
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SUKHORUCHENKOV Sergei | 72 |
| 4 | AVERIN Alexandre | 69 |
| 7 | NAJJARI Mustapha | 68 |
| 9 | MADIOT Marc | 68 |
| 10 | NEVENS Jan | 58 |