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 = -3.8 * weight + 306
This means that on average for every extra kilogram weight a rider loses -3.8 positions in the result.
Kelly
1
77 kgMujika
13
73 kgBittinger
41
69 kgFernández
42
68 kgVilamajo
48
70 kgMartinelli
56
74 kg
1
77 kgMujika
13
73 kgBittinger
41
69 kgFernández
42
68 kgVilamajo
48
70 kgMartinelli
56
74 kg
Weight (KG) →
Result →
77
68
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 13 | MUJIKA Jokin | 73 |
| 41 | BITTINGER René | 69 |
| 42 | FERNÁNDEZ Juan | 68 |
| 48 | VILAMAJO Jaime | 70 |
| 56 | MARTINELLI Giuseppe | 74 |