'Strong positive correlation' presentation slideshows

Association

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Correlation Indicates the relationship between two dependent variables (x and y)

Correlation Indicates the relationship between two dependent variables (x and y) Symbol: r (Pearson correlation coefficient) -1< r < 1. Positive Correlation As value of variable X increases, value of variable Y increases. Strong Positive Corr. r = .80.

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DO FIRST

DO FIRST. Pick up handouts Place your psychology journal and rubber-banded flashcards in the polkadot box Fill out the half-sheet you received when you entered and be ready to discuss. Creating New Knowledge. Research Methods and Statistics. Why is this important?. AP Free Response

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Correlational Research

Correlational Research. Correlational Research. The purpose of correlational research is to discover relationships between two or more variables. Relationship means that an individuals status on one variable tends to reflect his or her status on the other. Correlational Research.

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Correlational Research

Correlational Research. Correlational Research. The purpose of correlational research is to discover relationships between two or more variables. Relationship means that an individuals status on one variable tends to reflect his or her status on the other. Correlational Research.

423 views • 37 slides

Correlation

Correlation. Chapter 9. Overview. One of the major goals in Criminology is the etiology (cause) of crime, because of this criminologists studies are concerned with the relationship between two or more variables.

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Linear Regression

Linear Regression. Section 3.3. Warm Up.

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Chris Morgan, MATH G160 csmorgan@purdue April 20, 2012 Lecture 32

Chris Morgan, MATH G160 csmorgan@purdue.edu April 20, 2012 Lecture 32. Chapter 2.4: Scatter Plots and Trend Lines. Key Points of a Scatter Plot. Shows the relationship between two quantitative variables Explanatory (independent variable) ALWAYS goes on x-axis (horizontal)

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Dependent Variable (placed on vertical axis: y)

Dependent Variable (placed on vertical axis: y). A dependent variable is a variable dependent on the value of another variable. Independent Variable (placed on horizontal axis: x). The independent variable causes an apparent change in, or affects the dependent variable. Examples:

1.11k views • 20 slides

Scatter Diagrams

Scatter Diagrams. Part One: Drawing Them. Lesson Objective. To be able to draw a Scatter Diagram. Scatter Diagrams A Scatter Diagram is a graph of unconnected points When drawing graphs, we must remember to do the following things: Always give the graph a title

728 views • 18 slides

Scatter Diagrams

Scatter Diagrams. Part One: Drawing Them. Lesson Objective. To be able to draw a Scatter Diagram. Scatter Diagrams A Scatter Diagram is a graph of unconnected points When drawing graphs, we must remember to do the following things: Always give the graph a title

300 views • 18 slides

Scatter Diagrams

Scatter Diagrams. Part One: Drawing Them. Lesson Objective. To be able to draw a Scatter Diagram. Scatter Diagrams A Scatter Diagram is a graph of unconnected points When drawing graphs, we must remember to do the following things: Always give the graph a title

350 views • 18 slides

Parallel Gibbs Sampling From Colored Fields to Thin Junction Trees

Parallel Gibbs Sampling From Colored Fields to Thin Junction Trees. Joseph Gonzalez. Yucheng Low. Arthur Gretton. Carlos Guestrin. Gibbs Sampling [ Geman & Geman , 1984]. Sequentially for each variable in the model Select variable Construct conditional given adjacent assignments

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Conclusions

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Regression

Regression. Information. Lines of best fit. A line of best fit is drawn on a scatter plot to show the linear trend in a set of paired data. weak positive correlation. strong negative correlation. weak negative correlation. strong positive correlation.

164 views • 10 slides