Find the Roots: The roots of the polynomial can be found using various numerical or symbolic methods. Depending on the complexity of your polynomial, you may or may not be able to find a closed-form solution. You can use software like Python, Matlab, or Mathematica to numerically compute the roots if a symbolic solution isn't possible. For example, in Python, you can use the numpy.roots() function.
Determine Where the Function Is Positive: Once you have the roots of the polynomial, you can determine where the polynomial is positive. The roots divide the x-axis into several intervals. Choose a test point within each interval and evaluate the polynomial at this test point. If the result is positive, then the polynomial is positive within this interval.
Note that for a 6th degree polynomial, the polynomial will be negative between pairs of roots if it starts from positive at negative infinity (and will alternate), or will start from negative if the leading coefficient is negative.
Find Corresponding y-values for the Roots: For the roots where the y-values are positive, you can directly substitute the root (x-value) into the polynomial equation to find the corresponding y-value. Since roots are where the polynomial equals zero, if you're asked for roots that result in positive y-values, there may be a misunderstanding, as by definition the y-value at a root will be zero.
If you are looking for x-values (not necessarily roots) that result in positive y-values, steps 1 and 2 should be sufficient.
Without a specific polynomial, it's challenging to provide a more detailed step-by-step process, but this approach should work in general. Please replace the general terms with your specific polynomial coefficients. If the polynomial or further specifics are known, additional or alternative steps might be required.