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 * weight + 10
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Bower
4
63 kgRobertson
7
59 kgMcgrail
8
68 kgGillingham
11
63 kgBhimy
13
62 kg
4
63 kgRobertson
7
59 kgMcgrail
8
68 kgGillingham
11
63 kgBhimy
13
62 kg
Weight (KG) →
Result →
68
59
4
13
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BOWER Lewis | 63 |
| 7 | ROBERTSON Elliot | 59 |
| 8 | MCGRAIL Callum | 68 |
| 11 | GILLINGHAM Jack | 63 |
| 13 | BHIMY Lucas | 62 |