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 = 38.7 * weight - 1974
This means that on average for every extra kilogram weight a rider loses 38.7 positions in the result.
Danielson
1
58.5 kgTondo
2
68 kgBates
84
61 kgGerrans
91
62 kgZonneveld
990
63 kgReid
990
62 kgChadwick
990
75 kgWong
990
65 kg
1
58.5 kgTondo
2
68 kgBates
84
61 kgGerrans
91
62 kgZonneveld
990
63 kgReid
990
62 kgChadwick
990
75 kgWong
990
65 kg
Weight (KG) →
Result →
75
58.5
1
990
# | Rider | Weight (KG) |
---|---|---|
1 | DANIELSON Tom | 58.5 |
2 | TONDO Xavier | 68 |
84 | BATES Gene | 61 |
91 | GERRANS Simon | 62 |
990 | ZONNEVELD Thijs | 63 |
990 | REID Robin | 62 |
990 | CHADWICK Glen Alan | 75 |
990 | WONG Kam-Po | 65 |