Significance of variables in linear regression with multiple variables

Is there any way to find the significance of each variable used in the linear regression model. And a way to arrange them in a order of decreasing importance?
Thanks in advance

By variable do you mean feature? In a linear model you can understand the correlation of each feature with the target column using df.corr(). The more the correlation value is tending away from zero the more is the relation of that feature with the target column.

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Yes, by variable I meant feature.
Thanks but it was explained in the lesson 1 lecture by @aakashns that correlation does not imply causation. So if you could suggest any other way it would be really very helpful.

Maybe this will help you Variance Thresholding For Feature Selection | Step-by-step Data Science

Thanks Max It was quiet helpful

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