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 = -1.7 * weight + 148
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
De Boes
5
83 kgAraujo
26
68 kgMugisha
41
58 kgMugisha
45
62 kgDevalckeneer
49
63 kg
5
83 kgAraujo
26
68 kgMugisha
41
58 kgMugisha
45
62 kgDevalckeneer
49
63 kg
Weight (KG) →
Result →
83
58
5
49
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DE BOES Timmy | 83 |
| 26 | ARAUJO Bruno | 68 |
| 41 | MUGISHA Moise | 58 |
| 45 | MUGISHA Samuel | 62 |
| 49 | DEVALCKENEER Sieben | 63 |