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 = 1 * weight - 52
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Sheehan
2
69 kgChrétien
13
65 kgQuinn
15
67 kgJorgenson
16
69 kgMcelroy
20
78 kgLange
26
72 kgFoley
28
72 kg
2
69 kgChrétien
13
65 kgQuinn
15
67 kgJorgenson
16
69 kgMcelroy
20
78 kgLange
26
72 kgFoley
28
72 kg
Weight (KG) →
Result →
78
65
2
28
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SHEEHAN Riley | 69 |
| 13 | CHRÉTIEN Charles-Étienne | 65 |
| 15 | QUINN Sean | 67 |
| 16 | JORGENSON Matteo | 69 |
| 20 | MCELROY Sean | 78 |
| 26 | LANGE Colby | 72 |
| 28 | FOLEY Michael | 72 |