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 - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Millward
1
56 kgGilmore
2
56 kgCarrigan
4
60 kgMelchers
5
59 kgUlmer
6
64 kgStahurskaya
8
69 kgBates
11
69 kg
1
56 kgGilmore
2
56 kgCarrigan
4
60 kgMelchers
5
59 kgUlmer
6
64 kgStahurskaya
8
69 kgBates
11
69 kg
Weight (KG) →
Result →
69
56
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MILLWARD Anna | 56 |
| 2 | GILMORE Rochelle | 56 |
| 4 | CARRIGAN Sara | 60 |
| 5 | MELCHERS Mirjam | 59 |
| 6 | ULMER Sarah | 64 |
| 8 | STAHURSKAYA Zinaida | 69 |
| 11 | BATES Katherine | 69 |