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 * weight + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Huffman
1
71 kgKuss
2
61 kgSlagter
3
57 kgJones
4
64 kgBurke
5
67 kgHowes
6
61 kgPiccoli
10
65 kg
1
71 kgKuss
2
61 kgSlagter
3
57 kgJones
4
64 kgBurke
5
67 kgHowes
6
61 kgPiccoli
10
65 kg
Weight (KG) →
Result →
71
57
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUFFMAN Evan | 71 |
| 2 | KUSS Sepp | 61 |
| 3 | SLAGTER Tom-Jelte | 57 |
| 4 | JONES Chris | 64 |
| 5 | BURKE Jack | 67 |
| 6 | HOWES Alex | 61 |
| 10 | PICCOLI James | 65 |