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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bond
1
91 kgBennett
2
58 kgKennett
3
75 kgMccormick
5
72.5 kgOram
6
68 kgJones
11
75 kgClark
12
68 kg
1
91 kgBennett
2
58 kgKennett
3
75 kgMccormick
5
72.5 kgOram
6
68 kgJones
11
75 kgClark
12
68 kg
Weight (KG) →
Result →
91
58
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOND Hamish | 91 |
| 2 | BENNETT George | 58 |
| 3 | KENNETT Dylan | 75 |
| 5 | MCCORMICK Hayden | 72.5 |
| 6 | ORAM James | 68 |
| 11 | JONES Ollie | 75 |
| 12 | CLARK Boris | 68 |