The assertion f(x) == x*t + c is not defining the function f for all x. It is just saying that the value of f for the given x is x*t + c. Z3 supports universal quantifiers. However, they are very expensive, and Z3 is not complete when a set of constraints contains universal quantifiers since the problem becomes undecidable. That is, Z3 may return unknown for this kind of problem.
Note that f is essentially a "macro" in your script. Instead of using a Z3 function for encoding this "macro", we can create a Python function that does the trick. That is, a Python function that, given a Z3 expression, returns a new Z3 expression. Here is a new script. The script is also available online at: http://rise4fun.com/Z3Py/Yoi
Here is another version of the script where c and t are Real instead of Int: http://rise4fun.com/Z3Py/uZl
from z3 import *
c=Int('c')
t=Int('t')
def f(x):
return x*t + c
# data is a list of pairs (x, r)
def find(data):
s=Solver()
s.add([ f(x) == r for (x, r) in data ])
t = s.check()
if s.check() == sat:
print s.model()
else:
print t
find([(1, 55)])
find([(1, 55), (12, 34)])
find([(1, 55), (12, 34), (13, 300)])
Remark: In the SMT 2.0 front-end, macros can be defined using the command define-fun.