# Relationship between two continuous variables in time series data

I have a dataset that collects daily data based on transactions between two entities. I wish to find the strength, direction, and kind of relationship between two continuous variables i.e. Number of transactions (No_of_transactions) and Error counts (Error_Counts) over the period of approximately two years. Error counts are of degree 10²-10⁵ and the number of transactions in 10¹-10³. I'm pretty sure the relationship is nonlinear because when I draw the scatterplot it is more towards inverse relationship (rightly so) and I believe a simple corr() function won't help much.

• Maybe detrend the data and fit a VAR model? If you're feeling adventurous. – horseoftheyear May 29 at 12:48
• Does that help even the plot between the two shows scatter points all over the place. – Harshit Narang May 29 at 22:48