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 + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
McCarthy
1
63 kgFlakemore
2
72 kgBevin
3
75 kgVink
4
73 kgGate
6
71 kgWatson
7
72 kgOram
8
68 kgHowson
10
68 kg
1
63 kgFlakemore
2
72 kgBevin
3
75 kgVink
4
73 kgGate
6
71 kgWatson
7
72 kgOram
8
68 kgHowson
10
68 kg
Weight (KG) →
Result →
75
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCCARTHY Jay | 63 |
| 2 | FLAKEMORE Campbell | 72 |
| 3 | BEVIN Patrick | 75 |
| 4 | VINK Michael | 73 |
| 6 | GATE Aaron | 71 |
| 7 | WATSON Calvin | 72 |
| 8 | ORAM James | 68 |
| 10 | HOWSON Damien | 68 |