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 + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Taaramäe
1
73 kgLauk
2
69 kgNisu
3
84 kgSankmann
7
64 kgPrangel
12
74 kgJohanson
14
74 kgUulimaa
15
69 kgPiho
17
61 kg
1
73 kgLauk
2
69 kgNisu
3
84 kgSankmann
7
64 kgPrangel
12
74 kgJohanson
14
74 kgUulimaa
15
69 kgPiho
17
61 kg
Weight (KG) →
Result →
84
61
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAARAMÄE Rein | 73 |
| 2 | LAUK Karl Patrick | 69 |
| 3 | NISU Oskar | 84 |
| 7 | SANKMANN Joosep | 64 |
| 12 | PRANGEL Kristo | 74 |
| 14 | JOHANSON Kristjan | 74 |
| 15 | UULIMAA Ats | 69 |
| 17 | PIHO Kail | 61 |