Consider a multiple regression analysis where a researcher is studying the relationship between a dependent variable, $Y$, and two independent variables, $X_1$ and $X_2$. The model is specified as follows:
$$ Y = \beta_0 + \beta_1 X_1 + \beta_2 X_2 + \epsilon $$
The researcher wants to test the null hypothesis that the coefficient for $X_1$ is equal to zero against the alternative hypothesis that it is not equal to zero. After performing the regression analysis, the t-statistic for $\beta_1$ is calculated to be 2.5, and the degrees of freedom is 18. Based on a significance level of 0.05, what can be concluded from the hypothesis test?