what steps do the following lines of code perform? input=[('scale',standardscaler()),('model',linearregression())]
pipe=pipeline(input) (z,y)
ypipe=pipe.predict(z)

- Standardize the data, then perform a polynomial transform on the features Z
- find the correlation between Z and y
- Standardize the data, then perform a prediction using a linear regression model using the features Z and targets y