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 * weight + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
McEwen
1
67 kgBalducci
3
69 kgD'Hollander
4
74 kgGasparre
5
60 kgCannone
7
72 kgCommesso
10
66 kg
1
67 kgBalducci
3
69 kgD'Hollander
4
74 kgGasparre
5
60 kgCannone
7
72 kgCommesso
10
66 kg
Weight (KG) →
Result →
74
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCEWEN Robbie | 67 |
| 3 | BALDUCCI Gabriele | 69 |
| 4 | D'HOLLANDER Glenn | 74 |
| 5 | GASPARRE Graziano | 60 |
| 7 | CANNONE Marco | 72 |
| 10 | COMMESSO Salvatore | 66 |