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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Townsend
1
73 kgMcGeough
2
76 kgHealy
3
65 kgRafferty
5
65 kgDunbar
7
57 kgRyan
8
56 kgKeogh
15
70 kgCrowley
17
78 kg
1
73 kgMcGeough
2
76 kgHealy
3
65 kgRafferty
5
65 kgDunbar
7
57 kgRyan
8
56 kgKeogh
15
70 kgCrowley
17
78 kg
Weight (KG) →
Result →
78
56
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TOWNSEND Rory | 73 |
| 2 | MCGEOUGH Cormac | 76 |
| 3 | HEALY Ben | 65 |
| 5 | RAFFERTY Darren | 65 |
| 7 | DUNBAR Eddie | 57 |
| 8 | RYAN Archie | 56 |
| 15 | KEOGH Cian | 70 |
| 17 | CROWLEY Liam | 78 |