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 = -0.1 * weight + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hänninen
8
60 kgHenttala
9
73 kgLiedes
12
78 kgKällberg
15
69 kgLindahl
16
75 kgMalinen
24
60 kgHelminen
25
74 kg
8
60 kgHenttala
9
73 kgLiedes
12
78 kgKällberg
15
69 kgLindahl
16
75 kgMalinen
24
60 kgHelminen
25
74 kg
Weight (KG) →
Result →
78
60
8
25
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | HÄNNINEN Jaakko | 60 |
| 9 | HENTTALA Joonas | 73 |
| 12 | LIEDES Veli-Petteri | 78 |
| 15 | KÄLLBERG Axel | 69 |
| 16 | LINDAHL Jesper | 75 |
| 24 | MALINEN Sampo | 60 |
| 25 | HELMINEN Matti | 74 |