A study in Computers and Electronics in Agriculture (Vol. 174, 2020) provides a method for obtaining uniform

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A study in Computers and Electronics in Agriculture (Vol. 174, 2020) provides a method for obtaining uniform seed varieties from crop production. A computer vision system was developed to distinguish seven different registered varieties of dry beans with similar features in order to obtain uniform seed classification. Images of 13,611 grains of the seven beans were taken with a high-resolution camera for the classification model. The images obtained using the computer vision system were subjected to segmentation and feature extraction stages, and a total of 16 features, 12 dimensions, and 4 shape forms were obtained from the grains. Here, you are going to analyze the relationship between the major axis length (y) (in pixels), and the minor axis length (x) (in pixels) of the beans, in which y is the distance between the ends of the longest line that can be drawn from a bean and x is the longest line that can be drawn from the bean while stationed perpendicular to the main axis. The data are saved in a file named "BeanDataset.csv" accompanied by this project on the Blackboard. You have to conduct a complete simple linear regression analysis of the data. Summarize your findings in a professional report

The data is too large and I posted the first part only. Its a total of 13611 observations for X and Y