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 = 0.7 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Lowden
3
55 kgHenderson
4
58 kgTacey
6
62 kgWood
10
59 kgDixon
13
61 kgStorrie
14
58 kg
3
55 kgHenderson
4
58 kgTacey
6
62 kgWood
10
59 kgDixon
13
61 kgStorrie
14
58 kg
Weight (KG) →
Result →
62
55
3
14
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LOWDEN Joscelin | 55 |
| 4 | HENDERSON Anna | 58 |
| 6 | TACEY April | 62 |
| 10 | WOOD Alice | 59 |
| 13 | DIXON Leah | 61 |
| 14 | STORRIE Becky | 58 |