I have the a multiple linear regression looking like this:
$$y = \alpha + \beta_1 female + \beta_2 x_2 + \beta_3 x_3$$
"female" is a dummy variable (0=male, 1 = female)
My overall hypothesis is that "Being male increases the effect on Y".
The coefficient for female is -0.076 and the p-value is 0.516.
I am not entirely sure how to interpret this. I know there is no statistical significance as the p-value is high but what exactly does this mean... which of the following statements is correct?
1) "As the p-value is high the hypothesis stating that being a man increases the effect of y can be rejected"
2) "As the p-value is high there is no statistical evidence that being a man increases the effect of Y but the hypotheses cannot be rejected, as there is no statistical significance.