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 + 30
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Yates
4
58 kgYates
5
58 kgDunne
8
88 kgEdmondson
17
62 kgTanner
34
76 kgMcLay
40
72 kgSherriffs
57
58 kg
4
58 kgYates
5
58 kgDunne
8
88 kgEdmondson
17
62 kgTanner
34
76 kgMcLay
40
72 kgSherriffs
57
58 kg
Weight (KG) →
Result →
88
58
4
57
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | YATES Simon | 58 |
| 5 | YATES Adam | 58 |
| 8 | DUNNE Conor | 88 |
| 17 | EDMONDSON Joshua | 62 |
| 34 | TANNER Jake | 76 |
| 40 | MCLAY Daniel | 72 |
| 57 | SHERRIFFS Chris | 58 |