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 = 2.2 * weight - 119
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Mugisha
1
58 kgMugisha
14
62 kgDevalckeneer
31
63 kgAraujo
36
68 kgDe Boes
61
83 kg
1
58 kgMugisha
14
62 kgDevalckeneer
31
63 kgAraujo
36
68 kgDe Boes
61
83 kg
Weight (KG) →
Result →
83
58
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUGISHA Moise | 58 |
| 14 | MUGISHA Samuel | 62 |
| 31 | DEVALCKENEER Sieben | 63 |
| 36 | ARAUJO Bruno | 68 |
| 61 | DE BOES Timmy | 83 |