Applying linear regression to estimate coefficients

According to the question that I attached it is asked to linearize a group of data and applying linear regression.

So I have written this code below:

c=[0.5 0.8 1.5 2.5 4]
k=[1.1 2.5 5.3 7.6 8.9]
A=[length(c) sum(c);sum(c) sum(c.^2)];
C=[sum(k);sum(c.*k)];
B=inv(A)*C

and the output is:

B =

    0.9757
    2.2066

So I have found the a0 and a1 values.(estimated linear func:a0+a1=y)

I think I have linearized(?), what method should I use to create a function estimates kmax and cs values?

thank you so much!