IUB CJUS-K 300 - Bi-Variate Regression (2 pages)

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Bi-Variate Regression



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Bi-Variate Regression

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Bi-variate regression continued


Lecture number:
21
Pages:
2
Type:
Lecture Note
School:
Indiana University, Bloomington
Course:
Cjus-K 300 - Techniques of Data Analysis
Edition:
1

Unformatted text preview:

CJUS K300 1nd Edition Lecture 21 Outline of Last Lecture I Bi Variate Regression Correlation part 2 Outline of Current Lecture II Bi Variate Regression Correlation contd Current Lecture Bivariate linear regression analysis is the simplest linear regression procedure simple leanera regression Explores the explanatory relationship for 2 variables Examines only linear relationships Simple linear regression focuses on explaining and predicting the dependent variables based on the information we know about he independent variable The regression model examines the changes in the dependent variable as a function of changes or differences in values of the independent variable This is what we would consider the interpretation of the answer Dependent variable DV variable that we are trying to explain or predict it is usually very easily identifiable we denote this as Y Independent variable IV used to predict systematic changes in the dependent variable we denote it as X The regression aims to determine how and to what extent the dependent variable Y varies as a function of changes in the independent variable X Best fitting straight line least squares regression line the extent to which the data points do not lie on the straight line indicate individual errors Intercept denoted as a this is the point where the regression line crosses the Y axis Slope denoted as b this tells you how much a 1 unit increase in X affects the value of Y These notes represent a detailed interpretation of the professor s lecture GradeBuddy is best used as a supplement to your own notes not as a substitute



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