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Statistics 205

Friday, November 28, 2008. 11 DUMMY VARIABLE REGRESSION. A summary of the lectures of Professor Thomas Wickens, UC Berkeley, with infrequent elaborations by NS (Dr. Wickens neither endorses nor fails to endorse this blog). H11: Categorical regression variables and group comparisons. Chapter 7: Dummy Variable Regression. Lecture date: 11.18.08; 11.20.08. Categorical variables in regression. Let’s get started! So what does dummy coding do? Example 1: test for differences in the intercepts of the groups.

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Statistics 205 | statistics205.blogspot.com Reviews

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Friday, November 28, 2008. 11 DUMMY VARIABLE REGRESSION. A summary of the lectures of Professor Thomas Wickens, UC Berkeley, with infrequent elaborations by NS (Dr. Wickens neither endorses nor fails to endorse this blog). H11: Categorical regression variables and group comparisons. Chapter 7: Dummy Variable Regression. Lecture date: 11.18.08; 11.20.08. Categorical variables in regression. Let’s get started! So what does dummy coding do? Example 1: test for differences in the intercepts of the groups.

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Statistics 205 | statistics205.blogspot.com Reviews

https://statistics205.blogspot.com

Friday, November 28, 2008. 11 DUMMY VARIABLE REGRESSION. A summary of the lectures of Professor Thomas Wickens, UC Berkeley, with infrequent elaborations by NS (Dr. Wickens neither endorses nor fails to endorse this blog). H11: Categorical regression variables and group comparisons. Chapter 7: Dummy Variable Regression. Lecture date: 11.18.08; 11.20.08. Categorical variables in regression. Let’s get started! So what does dummy coding do? Example 1: test for differences in the intercepts of the groups.

INTERNAL PAGES

statistics205.blogspot.com

1

Statistics 205: 10a2~MULTIPLE REGRESSION, LEC 2

http://statistics205.blogspot.com/2008/11/10a2multiple-regression-lec-2.html

Tuesday, November 11, 2008. 10a2 MULTIPLE REGRESSION, LEC 2. A summary of the lectures of Professor Thomas Wickens, UC Berkeley, with infrequent elaborations by NS (Dr. Wickens neither endorses nor fails to endorse this blog). Chapter 5 Linear Least Squares Regression; C6 Statistical Inference for Regression (Fox). Lecture date: 11.4.08. 3 of 4 possible relationships in 2 predictor equations: You can get collinearity (miserable), r = 0 for predictors (fantastic! Or partial redundancy (not bad). Test the ...

2

Statistics 205: Fox4~TRANSFORMING DATA

http://statistics205.blogspot.com/2008/10/fox4transforming-data.html

Wednesday, October 22, 2008. A summary of the lectures of Professor Thomas Wickens, UC Berkeley, with infrequent elaborations by NS (Dr. Wickens neither endorses nor fails to endorse this blog). HO8: Transforming to linearity. Chapter 4 Transforming Data (Fox). Lecture date: 10.21.08. What do you do if your data is curved and you want to use linear regression? Noticing that the data is not too straight, we decide to apply transformations. Why should we transform? Since the scatter of the points around th...

3

Statistics 205: MULTIPLE REGRESSION

http://statistics205.blogspot.com/2008/11/multiple-regression.html

Saturday, November 1, 2008. A summary of the lectures of Professor Thomas Wickens, UC Berkeley, with infrequent elaborations by NS (Dr. Wickens neither endorses nor fails to endorse this blog). Chapter 5 Linear Least Squares Regression; C6 Statistical Inference for Regression (Fox). Lecture date: 10.30.08. Keep other predictors in mind when interpreting one of them. Interpret slope as change in y for unit change in x, other variables held constant. Visualize variables as directions at angles to each other.

4

Statistics 205: 11~DUMMY VARIABLE REGRESSION

http://statistics205.blogspot.com/2008/11/11dummy-variable-regression.html

Friday, November 28, 2008. 11 DUMMY VARIABLE REGRESSION. A summary of the lectures of Professor Thomas Wickens, UC Berkeley, with infrequent elaborations by NS (Dr. Wickens neither endorses nor fails to endorse this blog). H11: Categorical regression variables and group comparisons. Chapter 7: Dummy Variable Regression. Lecture date: 11.18.08; 11.20.08. Categorical variables in regression. Let’s get started! So what does dummy coding do? Example 1: test for differences in the intercepts of the groups.

5

Statistics 205: THE LINEAR MODEL, LECTURE 2

http://statistics205.blogspot.com/2008/10/linear-model-lecture-2.html

Wednesday, October 8, 2008. THE LINEAR MODEL, LECTURE 2. A summary of the lectures of Professor Thomas Wickens, UC Berkeley, with infrequent elaborations by NS (Dr. Wickens neither endorses nor fails to endorse this blog). HO5: Assumptions of the Analysis of Variance. Chapter 7 The Linear Model and Its Assumptions (Keppel and Wickens). Lecture date: 10.7.08. How do we check the distribution? What are the three categories for assumptions used by Wickens in this lecture? What is identical distribution?

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Friday, November 28, 2008. 11 DUMMY VARIABLE REGRESSION. A summary of the lectures of Professor Thomas Wickens, UC Berkeley, with infrequent elaborations by NS (Dr. Wickens neither endorses nor fails to endorse this blog). H11: Categorical regression variables and group comparisons. Chapter 7: Dummy Variable Regression. Lecture date: 11.18.08; 11.20.08. Categorical variables in regression. Let’s get started! So what does dummy coding do? Example 1: test for differences in the intercepts of the groups.

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