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 = 0.6 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Stevens
1
55 kgVillumsen
2
59 kgWhitten
6
67 kgFahlin
9
63 kgRamsden
15
62 kg
1
55 kgVillumsen
2
59 kgWhitten
6
67 kgFahlin
9
63 kgRamsden
15
62 kg
Weight (KG) →
Result →
67
55
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEVENS Evelyn | 55 |
| 2 | VILLUMSEN Linda | 59 |
| 6 | WHITTEN Tara | 67 |
| 9 | FAHLIN Emilia | 63 |
| 15 | RAMSDEN Denise | 62 |