Module 1: Types of Statistical Studies and Producing Data
Module 1: Types of Statistical Studies and Producing Data
Module 2: Summarizing Data Graphically and Numerically
Module 2: Summarizing Data Graphically and Numerically
Module 2: Summarizing Data Graphically and Numerically
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Module 4: Nonlinear Models
Module 5: Relationships in Categorical Data with Intro to Probability
Module 5: Relationships in Categorical Data with Intro to Probability
Module 5: Relationships in Categorical Data with Intro to Probability
Module 5: Relationships in Categorical Data with Intro to Probability
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 6: Probability and Probability Distributions
Module 7: Linking Probability to Statistical Inference
Module 7: Linking Probability to Statistical Inference
Module 7: Linking Probability to Statistical Inference
Module 7: Linking Probability to Statistical Inference
Module 7: Linking Probability to Statistical Inference
Module 7: Linking Probability to Statistical Inference
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 8: Inference for One Proportion
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 9: Inference for Two Proportions
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 10: Inference for Means
Module 11: Chi-Square Tests
Module 11: Chi-Square Tests
Module 11: Chi-Square Tests
Resources: Course Assignments
Resources: Course Assignments
« Previous
Reading progress:
36%
Next »
Module 3: Examining Relationships: Quantitative Data
Module 3: Examining Relationships: Quantitative Data
Introduction to Linear Regression
Introduction to Linear Regression
What you’ll learn to do: For a linear relationship, use the least squares regression line to model the pattern in the data and to make predictions.
In this section, we present steps for finding the simple linear regression formula given a set of data. This formula is derived to find the line that has the smallest total squared error from the line to the observed data. In addition, we interpret the constants in a real-world context and explore the ways in which we can use the linear regression model to form predictions or good “guesses” for new values.
CC licensed content, Shared previously
- Concepts in Statistics. Provided by: Open Learning Initiative. Located at: http://oli.cmu.edu. License: CC BY: Attribution