Regular nonlinear least squares algorithms are appropriate when measurement errors all have the same variance. When that assumption is not true, it is appropriate to used a weighted fit. This example shows how to use weights with the fitnlm function.
Calculate the weighted regression in your Microsoft Excel spreadsheet by standardizing your values and employing the Regression tool. You can standardize your data set by taking the natural log of your y-values with the LN() function.