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.
Bower
3
63 kgRobertson
6
59 kgWilson
8
62 kgGillingham
9
63 kgLiu
10
63 kgMason
11
73 kg
3
63 kgRobertson
6
59 kgWilson
8
62 kgGillingham
9
63 kgLiu
10
63 kgMason
11
73 kg
Weight (KG) →
Result →
73
59
3
11
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOWER Lewis | 63 |
| 6 | ROBERTSON Elliot | 59 |
| 8 | WILSON Finn | 62 |
| 9 | GILLINGHAM Jack | 63 |
| 10 | LIU David | 63 |
| 11 | MASON Euan | 73 |