Answer:
See Explanation
Explanation:
The question is incomplete, as the regression line is not given.
However, I will give a general explanation of how to calculate the degree of freedom of a slope of regression line
The degree of freedom is calculated using:

Where


For a regression line; there are two parameters that are being estimates;
The intercept and the slope. So:

Hence, the degree of freedom of a slope of regression line is:

So; if for example

the degree of freedom will be:

