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 = -0.3 * weight + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Liepiņš
1
67 kgNeilands
2
69 kgSkujiņš
3
70 kgFlaksis
4
79 kgBogdanovičs
7
68 kgKokle
8
65 kgKlismets
11
64 kg
1
67 kgNeilands
2
69 kgSkujiņš
3
70 kgFlaksis
4
79 kgBogdanovičs
7
68 kgKokle
8
65 kgKlismets
11
64 kg
Weight (KG) →
Result →
79
64
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIEPIŅŠ Emīls | 67 |
| 2 | NEILANDS Krists | 69 |
| 3 | SKUJIŅŠ Toms | 70 |
| 4 | FLAKSIS Andžs | 79 |
| 7 | BOGDANOVIČS Māris | 68 |
| 8 | KOKLE Gvido | 65 |
| 11 | KLISMETS Kārlis | 64 |