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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Jackowiak
7
65 kgSchwartz
8
69 kgMartinet
12
66 kgHuitema
15
72 kgRaus
20
73 kgLefevre
22
75 kgGravelle
31
62 kg
7
65 kgSchwartz
8
69 kgMartinet
12
66 kgHuitema
15
72 kgRaus
20
73 kgLefevre
22
75 kgGravelle
31
62 kg
Weight (KG) →
Result →
75
62
7
31
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | JACKOWIAK Jan Michal | 65 |
| 8 | SCHWARTZ Simon | 69 |
| 12 | MARTINET Valentin | 66 |
| 15 | HUITEMA Thomas | 72 |
| 20 | RAUS Jérôme | 73 |
| 22 | LEFEVRE Fabrice | 75 |
| 31 | GRAVELLE Rory | 62 |