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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Gatto
1
67 kgGoss
2
70 kgMontaguti
5
65 kgGołaś
9
65 kgPasseron
10
73 kgThomas
13
71 kgDe Negri
16
61 kg
1
67 kgGoss
2
70 kgMontaguti
5
65 kgGołaś
9
65 kgPasseron
10
73 kgThomas
13
71 kgDe Negri
16
61 kg
Weight (KG) →
Result →
73
61
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GATTO Oscar | 67 |
| 2 | GOSS Matthew | 70 |
| 5 | MONTAGUTI Matteo | 65 |
| 9 | GOŁAŚ Michał | 65 |
| 10 | PASSERON Aurélien | 73 |
| 13 | THOMAS Geraint | 71 |
| 16 | DE NEGRI Pier Paolo | 61 |