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 = -1.1 * weight + 86
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Bevin
1
75 kgPettiti
2
71 kgEibegger
4
68 kgDoull
7
71 kgPeters
10
67 kgLampier
13
68 kg
1
75 kgPettiti
2
71 kgEibegger
4
68 kgDoull
7
71 kgPeters
10
67 kgLampier
13
68 kg
Weight (KG) →
Result →
75
67
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BEVIN Patrick | 75 |
| 2 | PETTITI Alessandro | 71 |
| 4 | EIBEGGER Markus | 68 |
| 7 | DOULL Owain | 71 |
| 10 | PETERS Alex | 67 |
| 13 | LAMPIER Steven | 68 |