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# Time for action – building a multiple linear regression model

The method of building a multiple linear regression model remains the same as earlier. If all the variables in `data.frame` are to be used, we use the formula `y ~ .`. However, if we need specific variables, say `x1` and `x3`, the formula would be `y ~ x1 + x3`.

1. Build the multiple linear regression model with `gasoline_lm <- lm(y~., data=Gasoline)`. Here, the formula `y~.` considers the variable `y` as the dependent variable and all the remaining variables in the `Gasoline` data frame as independent variables.
2. Get the details of the fitted multiple linear regression model with `summary(gasoline_lm)`.

The R screen then appears as follows:

Figure 7: Building the multiple linear regression model

As with the simple ...

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