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Perfect positive linear relationship - PowerPoint PPT Presentation

COMPLETE BUSINESS STATISTICS

COMPLETE BUSINESS STATISTICS

COMPLETE BUSINESS STATISTICS. by AMIR D. ACZEL & JAYAVEL SOUNDERPANDIAN 6 th edition (SIE). Chapter 10. Simple Linear Regression and Correlation. Using Statistics The Simple Linear Regression Model Estimation: The Method of Least Squares

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812 views • 54 slides
Descriptive measures of the strength of a linear association

Descriptive measures of the strength of a linear association

Descriptive measures of the strength of a linear association. r- squared and the (Pearson) correlation coefficient r. Translating a research question into a statistical procedure. How strong is the linear relationship between skin cancer mortality and latitude?

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588 views • 45 slides
Chapter 4

Chapter 4

Chapter 4. Scatterplots and Correlation. Explanatory and Response Variables. Interested in studying the relationship between two variables by measuring both variables on the same individuals. a response variable measures an outcome of a study

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323 views • 31 slides
Correlation and Simple Linear Regression

Correlation and Simple Linear Regression

Correlation and Simple Linear Regression. Correlation Analysis. Correlation analysis is used to describe the degree to which one variable is linearly related to another. There are two measures for describing correlation:

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290 views • 26 slides
Chapter 4

Chapter 4

Chapter 4. Scatterplots and Correlation. Explanatory and Response Variables. Interested in studying the relationship between two variables by measuring both variables on the same individuals. a response variable measures an outcome of a study

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511 views • 24 slides
Chapter 4

Chapter 4

Chapter 4. Scatterplots and Correlation. Explanatory and Response Variables. Interested in studying the relationship between two variables by measuring both variables on the same individuals. a response variable measures an outcome of a study

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327 views • 24 slides
Chapter 4

Chapter 4

Chapter 4. Scatterplots and Correlation. Explanatory and Response Variables. Interested in studying the relationship between two variables by measuring both variables on the same individuals. a response variable measures an outcome of a study

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242 views • 24 slides
Forecasting Part 3

Forecasting Part 3

Forecasting Part 3. By Anita Lee-Post. Selecting a forecasting model. Forecast accuracy. A good forecast is accurate but not perfect, i.e., actual value ? forecast value Overall accuracy measures: 1. Mean absolute deviation 2. Mean squared error

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331 views • 20 slides
Chapter 4

Chapter 4

Chapter 4. Scatterplots and Correlation. Explanatory and Response Variables. Interested in studying the relationship between two variables by measuring both variables on the same individuals. a response variable measures an outcome of a study

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192 views • 19 slides
Chapter 4 (cont.)

Chapter 4 (cont.)

Chapter 4 (cont.). Scatterplots and Correlation. Last time: Cereal detectives. Explanatory and Response Variables. Last time we were interested in studying the relationship between two variables by measuring both variables on the same individuals.

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276 views • 18 slides
Chapter 4 (cont.)

Chapter 4 (cont.)

Chapter 4 (cont.). Scatterplots and Correlation. Last time: Cereal detectives. Explanatory and Response Variables. Last time we were interested in studying the relationship between two variables by measuring both variables on the same individuals.

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183 views • 18 slides

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