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 = -0.4 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Boyle
11
77 kgCouture
12
67 kgRaymond
13
67 kgOlejniczak
18
69 kgRenaud-Tremblay
19
60 kgHadfield
21
73 kgMoore
24
62 kg
11
77 kgCouture
12
67 kgRaymond
13
67 kgOlejniczak
18
69 kgRenaud-Tremblay
19
60 kgHadfield
21
73 kgMoore
24
62 kg
Weight (KG) →
Result →
77
60
11
24
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | BOYLE Evan | 77 |
| 12 | COUTURE Samuel | 67 |
| 13 | RAYMOND Louis | 67 |
| 18 | OLEJNICZAK David | 69 |
| 19 | RENAUD-TREMBLAY Sasha | 60 |
| 21 | HADFIELD Gavin | 73 |
| 24 | MOORE Manu | 62 |