Distance Causes Departure: Characteristics of Galaxies Vulnerable to Photometric Redshift Measurements

In this article, we developed the method for calculating photometric redshift through a simple linear regression model. By studying the training set DR17 in Sloan Digital Sky Survey (SDSS), using the spectroscopic redshift data do the fitting job, we got linear coefficients and apply it to the target set and study the model. By dividing the estimation into several levels, analyzing the scatterplot and spectrum for galaxies in each divided set, we find that the percentage error, defined as is correlated with the distance of the galaxy from observatory in some basis. Further research should be done for making better curves using machine learning and complex models, and increasing the dataset.