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Biostat 200 Lecture 10

Biostat 200 Lecture 10

Biostat 200 Lecture 10. Simple linear regression. Population regression equation ? y|x = ? + ? x ? and ? are constants and are called the coefficients of the equation ? is the y-intercept and which is the mean value of Y when X=0, which is ? y|0

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797 views • 66 slides
Least-Squares regression line

Least-Squares regression line

Least-Squares regression line. A regression line is a straight line that describes how a response variable y changes as an explanatory variable x changes. We often use it to predict the value of the response variable y for a given value of the explanatory variable x .

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460 views • 45 slides
Least-Squares regression line

Least-Squares regression line

Least-Squares regression line. A regression line is a straight line that describes how a response variable y changes as an explanatory variable x changes. We often use it to predict the value of the response variable y for a given value of the explanatory variable x .

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528 views • 45 slides
Part IB. Descriptive Statistics

Part IB. Descriptive Statistics

Part IB. Descriptive Statistics. Multivariate Statistics ( ????? ) Focus: Multiple regression Spring 2007. Regression Analysis ( ???? ). Y = f (X): Y is a function of X Regression analysis: a method of determining the specific function relating Y to X

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390 views • 38 slides
Correlation & Regression

Correlation & Regression

Correlation & Regression. Chapter 10. Introduction. Another area of inferential statistics involves determining whether a relationship exists between two or more quantitative variables For example:

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380 views • 29 slides

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