In your data set is a random list of Data Science salaries from 2020 - 2022. You are given an unknown label X, the job title, and their salaries (in ten thousands) - this will be your Y.

Summary Statistics

• Mean of X and Y (5 points each)
• Median of X and Y (5 points each)
• Q1 of X and Y (5 points each)
• Q3 of X and Y (5 points each)
• IQR of X and Y (5 points each)
• Outliers of X and Y (5 points each)

Simple Linear Regression

• Find the equation for Linear Regression on this dataset - (5 points)
• Does X make sense? Why? Why not? - (10 points)
• Please give a possible label for X - (5 points)

Z-Tables

In your work for Linear Regression, you have calculated the mean and the standard deviation of the salaries for Data Scientists. Using that information, please calculate the following:

• The percentage of data scientists whose income are below 99.5 - 5 points for showing the Z score, and 5 points for showing the percentage
• The percentage of data scientists whose income are above 137.5 - 5 points for showing the Z score, and 5 points for showing the percentage

X	Job Title	Salary (in ten thousands)
538	Data Scientist	141
269	Data Engineer	65
543	Data Engineer	99
243	Data Scientist	165
336	Data Analyst	167
61	Data Engineer	131
370	Data Scientist	123
91	Data Science Consultant	77
248	Data Engineer	96
39	Machine Learning Engineer	138
76	BI Data Analyst	100
339	Data Analyst	109
111	Director of Data Engineering	113