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 = 0.4 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Ljungskog
1
57 kgPučinskaitė
2
54 kgCooke
7
58 kgWood
8
56 kgStahurskaya
9
69 kgMelchers
10
59 kg
1
57 kgPučinskaitė
2
54 kgCooke
7
58 kgWood
8
56 kgStahurskaya
9
69 kgMelchers
10
59 kg
Weight (KG) →
Result →
69
54
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LJUNGSKOG Susanne | 57 |
| 2 | PUČINSKAITĖ Edita | 54 |
| 7 | COOKE Nicole | 58 |
| 8 | WOOD Oenone | 56 |
| 9 | STAHURSKAYA Zinaida | 69 |
| 10 | MELCHERS Mirjam | 59 |