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 + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Mauri
1
68 kgBreukink
2
70 kgMuseeuw
4
71 kgBruyneel
7
71 kgJalabert
10
66 kgKelly
12
77 kgRominger
14
65 kg
1
68 kgBreukink
2
70 kgMuseeuw
4
71 kgBruyneel
7
71 kgJalabert
10
66 kgKelly
12
77 kgRominger
14
65 kg
Weight (KG) →
Result →
77
65
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAURI Melchor | 68 |
| 2 | BREUKINK Erik | 70 |
| 4 | MUSEEUW Johan | 71 |
| 7 | BRUYNEEL Johan | 71 |
| 10 | JALABERT Laurent | 66 |
| 12 | KELLY Sean | 77 |
| 14 | ROMINGER Tony | 65 |