Step 1: Select rows where 'time' is 20.45.
lane |
athlete |
nationality |
time |
react |
8 |
paul hession |
ireland |
20.32 |
0.19 |
4 |
wallace spearmon |
united states |
20.39 |
0.202 |
6 |
jaysuma saidy ndure |
norway |
20.45 |
0.131 |
7 |
rondell sorillo |
trinidad and tobago |
20.63 |
0.164 |
5 |
ramil guliyev |
azerbaijan |
20.66 |
0.174 |
3 |
visa hongisto |
finland |
20.76 |
0.124 |
2 |
thuso mpuang |
south africa |
21.04 |
0.162 |
9 |
marvin anderson |
jamaica |
dnf |
0.187 |
Step 2: Select rows where 'react' is less than 0.164.
lane |
athlete |
nationality |
time |
react |
6 |
jaysuma saidy ndure |
norway |
20.45 |
0.131 |
Step 3: Select rows where 'lane' is 6.
lane |
athlete |
nationality |
time |
react |
6 |
jaysuma saidy ndure |
norway |
20.45 |
0.131 |
Step 4: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
lane |
athlete |
nationality |
time |
react |
6 |
jaysuma saidy ndure |
norway |
20.45 |
0.131 |
Prediction: TRUE