Yes, there are several ways to do this in MATLAB. Most efficient is to use mldivide (\)
v2=[45.02007409 120.055849 233.631225 389.351824 590.149849 835.499025 1127.549241]';
F=[0.1342 0.329 0.6141 1.008 1.516 2.149 2.892]';
A = [v2, ones(size(v2))];
x = A\F
Result
>> x
x =
0.0025
0.0193
Another way is to use polyfit()
x = polyfit(v2, F, 1)