About the weights assigned in the linear regression

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I have this confusion related to linear regression. Lets say I have two predictors $x_1$ and $x_2$ and the target is $y$. I learn a linear regression with $y \sim x_1,x_1 \cdot x_2,x_2$ with $x_1 \cdot x_2$ being the interaction term. Lets suppose I get weights or parameters 1,10,2,1 for $x_1,x_1 \cdot x_2,x_2$ and the intercept term.

So can I say that my intercept term got greater weight and the predictors $x_1$ and $x_2$ have significant interaction?