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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Yates
1
58 kgRathe
5
74 kgDoull
6
71 kgPeters
7
67 kgEdmondson
8
62 kgYates
9
58 kgDibben
10
78 kg
1
58 kgRathe
5
74 kgDoull
6
71 kgPeters
7
67 kgEdmondson
8
62 kgYates
9
58 kgDibben
10
78 kg
Weight (KG) →
Result →
78
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YATES Simon | 58 |
| 5 | RATHE Jacob | 74 |
| 6 | DOULL Owain | 71 |
| 7 | PETERS Alex | 67 |
| 8 | EDMONDSON Joshua | 62 |
| 9 | YATES Adam | 58 |
| 10 | DIBBEN Jonathan | 78 |