statistics

use the dataset provided in .csv file to build an optimum regression model to predict satisfaction. 

• 1. Perform exploratory data analysis on the dataset. Showcase some charts, graphs. Check for outliers and missing values 
•  2. Is there evidence of multicollinearity ? Showcase your analysis
• 3. Perform  simple linear regression for the dependent variable with every independent variable 
• 4. Perform PCA/Factor analysis by extracting 4 factors. Interpret the output and name the Factors 
• 5. Perform Multiple linear regression with customer satisfaction as dependent variables and the four factors as independent variables. Comment on the Model output and validity.