how to display trendline equation in excel

Loess models are generally for smoothing out noisy data, whereas the problem here is more likely data sparsity, which leaves the modelling prone for overfitting.

You're fitting the loess model on 6 datapoints.

I'd recommend to use a standard polynomial model instead, in absence of any kind of information about the data generating process. While technically there may be an equation for loess models, they are generally not human readable.

You're fitting a loess model by default.It would be easier to convert your wide format data to long format, which much more pleasant to work with in ggplot2.How do I display the equations and R^2 of the different trendlines?

Labels = c('inhibitor Cu-ionen', 'inhibitor glucosamine', 'zonder inhibitor')) Geom_point(data = tabel_glucosamine, aes(x=concentratie_G6P, y=Inhibitor_glucosamine, color = 'blue'))+ Geom_point(data = tabel_Zonder, aes(x=concentratie_G6P, y=Zonder_inhibitor, color = 'red')) + Geom_point(data = tabel_Cu, aes(x=concentratie_G6P, y=Inhibitor_Cu_ionen, color = 'black')) + Geom_smooth(data = tabel_glucosamine, se=FALSE, show.legend=T, fill='blue', aes(x=concentratie_G6P, y=Inhibitor_glucosamine))+theme_light()+labs(x='concentratie G6P (µM)', y='DA/min')+ Geom_smooth(data = tabel_Zonder, se=FALSE, show.legend=T, fill='red', color='red', aes(x=concentratie_G6P, y=Zonder_inhibitor))+ Geom_smooth(data=tabel_Cu, se=FALSE, show.legend = T, fill='black', color = 'black' ,aes(x=concentratie_G6P, y=Inhibitor_Cu_ionen))+ Tabel_glucosamine

How to display trendline equation in excel