(a).
To get the linear form, take logarithm on both sides if the equation. So the linear form is:
(b)
The equation is of the form: y = m*x + c
where:
y = log(r)
x = log(C)
slope(m) = n
y-intercept(c) = log(k)
Hence the new variables that would give a linear relationship are : log(C) and log(r)
(c)
The new linear set of data points are:
C(g/mol) | 4 | 2.25 | 1.5 |
r(g mol/L.s) | 0.400 | 0.305 | 0.245 |
log(C) | 0.602 | 0.352 | 0.176 |
log(r) | -0.398 | -0.516 | -0.611 |
(d)
The best fit line has been found using spreadsheet software. The graph is attached below as well.
The equation of best fit line is:
y = 0.498*x + (-0.696)
(e)
We have:
slope(m) = n
y-intercept(c) = log(k)
Hence
n = 0.498 ~ 0.5
log(k) = -0.696
OR
k = antilog(-0.696) = 0.20
Hence we have:
n = 0.5
k = 0.20
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