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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
de Bonis
1
66 kgTaborre
2
66 kgSintsov
8
62 kgMartin
9
59 kgCraven
11
75 kg
1
66 kgTaborre
2
66 kgSintsov
8
62 kgMartin
9
59 kgCraven
11
75 kg
Weight (KG) →
Result →
75
59
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE BONIS Francesco | 66 |
| 2 | TABORRE Fabio | 66 |
| 8 | SINTSOV Anton | 62 |
| 9 | MARTIN Dan | 59 |
| 11 | CRAVEN Dan | 75 |