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 + 8
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
De Wilde
1
70 kgFeys
4
80 kgGilmore
5
67 kgKoerts
10
78 kgDe Clercq
12
66 kgOmloop
13
78 kgHulsmans
17
75 kgFox
18
70 kg
1
70 kgFeys
4
80 kgGilmore
5
67 kgKoerts
10
78 kgDe Clercq
12
66 kgOmloop
13
78 kgHulsmans
17
75 kgFox
18
70 kg
Weight (KG) →
Result →
80
66
1
18
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WILDE Etienne | 70 |
| 4 | FEYS Wim | 80 |
| 5 | GILMORE Matthew | 67 |
| 10 | KOERTS Jans | 78 |
| 12 | DE CLERCQ Mario | 66 |
| 13 | OMLOOP Geert | 78 |
| 17 | HULSMANS Kevin | 75 |
| 18 | FOX Morgan | 70 |