Correlation interpretation of results

    • [DOCX File]Exam #2 Laboratory #2 Correlations and Regression on SPSS

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      Psyc451Exam #1 Lab#4 Name: _____. Statistical Control. Walk-through #1. Use the dataset . stress.sav. Select only the data from the men. a. Obtain the correlation of Stress with each of the following:

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    • [DOC File]CORRELATION FUNDAMENTALS

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      It is this interpretation of correlation that is used in the GPS receiver correlation process. Finding the point in time where two signals are similar, or in GPS receiver where the receivers replica C/A code is lined up with the received C/A code from the satellite, is the prime reason we need to understand the correlation process.

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    • [DOC File]CHAPTER 11—REGRESSION/CORRELATION

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      CORRELATION. Defn: Correlation ( is a population numeric measure of the direction and degree of . linear. relation between two numeric variables, say X and Y. Correlation assumes a linear relationship between Y and X. If the relationship is actually NOT linear and correlation is calculated, odd results …

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    • [DOC File]UNDERSTANDING THE PEARSON CORRELATION …

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      Understanding the Pearson Correlation Coefficient (r) The Pearson product-moment correlation coefficient (r) assesses the degree that quantitative variables are linearly related in a sample. Each individual or case must have scores on two quantitative variables (i.e., continuous variables measured on the interval or ratio scales).

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    • [DOCX File]Correlation/Regression Assignment. 4 pt.

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      Put the results in the appropriate part of the answer sheet. Carry out to 3 decimal places. Use Analyze->Correlate->Bivariate in SPSS. Print the correlation analysis output and turn it in, attached to the back of the answer sheet. b. Create two scatterplots - one for COL GPA vs. HS GPA and the other for COL GPA vs. ACT. Treat COL GPA as the ...

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    • [DOC File]Rule of Thumb for Interpreting the Size of a Correlation ...

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      Rule of Thumb for Interpreting the Size of a Correlation Coefficient Size of Correlation Interpretation .90 to 1.00 (-.90 to –1.00) Very high positive (negative) correlation .70 to .90 (-.70 to -.90) High positive (negative) correlation .50 to .70 (-.50 to -.70) Moderate positive (negative) correlation .30 to .50 (-.30 to -.50) Low positive (negative) correlation .00 to .30 (.00 to -.30 ...

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