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 = 0.2 * weight - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Offredo
3
69 kgTanner
8
70 kgNissen
9
65 kgGasparre
10
60 kgFeillu
14
69 kgRoux
15
73 kg
3
69 kgTanner
8
70 kgNissen
9
65 kgGasparre
10
60 kgFeillu
14
69 kgRoux
15
73 kg
Weight (KG) →
Result →
73
60
3
15
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | OFFREDO Yoann | 69 |
| 8 | TANNER David | 70 |
| 9 | NISSEN Søren | 65 |
| 10 | GASPARRE Graziano | 60 |
| 14 | FEILLU Brice | 69 |
| 15 | ROUX Anthony | 73 |