Please ask for advice on data statistics! ! ! !

From an academic perspective, this data analysis is not very meaningful. First of all, there are only 3 data at each temperature. It is a joke to use 3 data to calculate the variance, standard deviation and so on. From my point of view, the result of this experiment is to analyze the adsorption capacity of materials at different temperatures. A set of adsorption capacity data every 5 degrees is acceptable. Then the reliability of this data must be measured by uncertainty. If you have a meaningful standard deviation, test a few more groups and calculate the uncertainty. This experiment is enough. For example, the relative error of the adsorption capacity is 1%, so it looks very credible. Because there is no model at all, there is no need for assumptions. In short, this experiment is a bit superficial. If you want to publish it as a paper, it is better to build a model that can estimate the adsorption capacity. Of course, the variables in the model must include temperature, and you can also use previous models. The most direct effect is that different groups of data can be connected through functions in the model. Demonstrate that your model is good with data. Wait until you can write an article.