For Boolean functions that are $epsilon$-far from the set of linear functions,

we study the lower bound on the rejection probability (denoted by $extsc{rej}(epsilon)$) of the linearity test suggested by Blum, Luby and Rubinfeld.

This problem is arguably the most fundamental and extensively studied problem in property testing of Boolean functions.

The previously best bounds for $extsc{rej}(epsilon)$ were obtained by Bellare,

Coppersmith, H{{a}}stad, Kiwi and Sudan. They used Fourier analysis

to show that $ extsc{rej}(epsilon) geq e$ for every $0 leq epsilon leq

frac{1}{2}$. They also conjectured that this bound might not be tight for

$epsilon$'s which are close to $1/2$. In this paper we show that this indeed is

the case. Specifically, we improve the lower bound of $ extsc{rej}(epsilon) geq

epsilon$ by an additive constant that depends only on $epsilon$:

$extsc{rej}(epsilon) geq epsilon + min {1376epsilon^{3}(1-2epsilon)^{12},

frac{1}{4}epsilon(1-2epsilon)^{4}}$, for every $0 leq epsilon leq frac{1}{2}$.

Our analysis is based on a relationship between $extsc{rej}(epsilon)$ and the

weight distribution of a coset of the Hadamard code. We use both Fourier

analysis and coding theory tools to estimate this weight distribution.