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 - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Hunter
1
72 kgO'Neill
2
72 kgWohlberg
3
63 kgCañada
5
65 kgTafi
6
73 kgWegelius
8
62 kgMatveyev
15
78 kg
1
72 kgO'Neill
2
72 kgWohlberg
3
63 kgCañada
5
65 kgTafi
6
73 kgWegelius
8
62 kgMatveyev
15
78 kg
Weight (KG) →
Result →
78
62
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUNTER Robert | 72 |
| 2 | O'NEILL Nathan | 72 |
| 3 | WOHLBERG Eric | 63 |
| 5 | CAÑADA David | 65 |
| 6 | TAFI Andrea | 73 |
| 8 | WEGELIUS Charles | 62 |
| 15 | MATVEYEV Sergiy | 78 |