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📚 Python for Introductory Statistics
Chapters ▾
0. Why Learn Python?1. Introduction to Python2. Python Lists3. Python Syntax4. Python Loops5. Frequency Distributions and Graphs6. Measures of Center and Variation7. Measures of Position8. Discrete Probability Distributions9. Continuous Probability Distributions10. Confidence Intervals11. Hypothesis Testing12. Linear Regression and Correlation13. Analysis of Categorical Data14. Advanced Statistics TopicsAppendix 1: Python Installing StepsAppendix 2: Random Integer GeneratorAppendix 3: Counting, Permutations and CombinationsCode ReferencesResources

Predictions

Suppose you want to estimate, or predict, the final exam score of a student with midterm exam score of 70. The midterm exam scores (x-values) range from 65 to 75. Since 70 is inside this range, we can substitute x = 70 into the regression equation to find the predicted y value.

y ^ = a + b x

from the results (see above)

y ^ = − 282.5556792873052 + 6.364142538975502 x

y ^ = − 282.5556792873052 + 6.364142538975502 × 70 

-282.5556792873052 + 6.364142538975502*70
Show expected output
162.9342984409799

A student with a midterm exam score of 70 is predicted to score 162.9 on the final exam.

Adapted from Python for Introductory Statistics, by Simon Aman (Truman College, City Colleges of Chicago), licensed under CC BY 4.0. Changes were made: reformatted as an accessible XYZ web edition with live in-browser code cells. License: CC-BY-4.0.