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 + 51
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Murn
1
70 kgHauptman
3
70 kgMahorič
4
68 kgMugerli
7
68 kgMarin
9
67 kgValjavec
10
59 kg
1
70 kgHauptman
3
70 kgMahorič
4
68 kgMugerli
7
68 kgMarin
9
67 kgValjavec
10
59 kg
Weight (KG) →
Result →
70
59
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MURN Uroš | 70 |
| 3 | HAUPTMAN Andrej | 70 |
| 4 | MAHORIČ Mitja | 68 |
| 7 | MUGERLI Matej | 68 |
| 9 | MARIN Matej | 67 |
| 10 | VALJAVEC Tadej | 59 |