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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Sweet
1
69 kgNazon
2
68 kgRittsel
8
70 kgOrdowski
9
59 kgMurn
10
70 kg
1
69 kgNazon
2
68 kgRittsel
8
70 kgOrdowski
9
59 kgMurn
10
70 kg
Weight (KG) →
Result →
70
59
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWEET Jay | 69 |
| 2 | NAZON Damien | 68 |
| 8 | RITTSEL Martin | 70 |
| 9 | ORDOWSKI Volker | 59 |
| 10 | MURN Uroš | 70 |