Basic statistics and regression modeling

Data Science 101 slides


Review slides 328 – 368 for the following topics:

Commercial applications of regression
Linear relationships: slope, y-intercept, variable interactions
Variance and standard deviation
Covariance and correlation
Normal distribution and bell curves

Complete the following exercises:

Exercise 1 – Linear Regression Exercises

Exercise 2 – Outliers Exercises

Exercise 3 – Correlation and model significance

Exercise 4 – Viewing correlations

Complete Concept review 5: basic statistics and regression in the Assessment tab to complete this lesson


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