Predicting time with number of transactions

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I have a school project and I can't really figure this one out. I have a data frame of transactions (# of transactions) and time (seconds).

I have graphed this out and Y = time, X = transactions. I have to be able to predict the time using this set of data. Is there anyway that I could do this or do I have to create my own equation for this? I tried using Linear Regression to be able to make a prediction but the values seem very off. Now I just have no idea on what to do.

This is the graph that I have made

Here I tried to make a linear regression model and graphed it out

information on the linear regression model

Using SHA256 - Raw Data tx = x, speed = y

Using Keccak256

Thank you so much for anyone who will be able to help.

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Okay, I just threw the raw data into Excel and got a quadratic regression formula.

The formula is $ y = (-5 \cdot 10^{-6}) x^2 + (0.1224)x + 1.3228$

Here it is:

enter image description here