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[DOCX File]Chapter Seven: Correlation and Regression - SSRIC
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The correlation coefficient may range from -1 to 1, where -1 or 1 indicates a “perfect” relationship. The further the coefficient is from 0, regardless of whether it is positive or negative, the stronger the relationship between the two variables. Thus, a coefficient of .467 is exactly as strong as a coefficient of -.467. Positive coefficients
correlation coefficient significance table

[DOC File]Statistical Analysis of Medical Data: Correlation and ...
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Write the value of correlation coefficient. Interpret the degree of association using the empirical rules of Colton [Colton T. Statistics in Medicine. Little Brown and Company, New York, NY 1974].
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[DOCX File]STEPS FOR CONDUCTING MULTIPLE LINEAR REGRESSION
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Examine significance of coefficient estimates to trim the model . Revise the model and rerun the analyses based on the results of steps i-iv. Write the final regression equation and interpret the coefficient estimates. To get started, open the SPSS data file entitled, REGRESSION.SAV. STEP I: Recode . SEX and G8URBAN into . dichotomous. variables
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[DOC File]Homework - OpenStax CNX
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Find the correlation coefficient. Is it significant? Find the estimated life expectancy for an individual born in 1950 and for one born in 1982. Why aren’t the answers to part (e) the values on the above chart that correspond to those years? Use the two points in (e) to plot the least squares line on your graph from (b).
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[DOC File]Sample Test Questions -- Test 1 - University of Florida
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The correlation coefficient was equal to 0.7183 and the least squares regression equation was response time=12.22+0.71hours. What of the statements below is a true statement? That 71.1579% of the variability in the number of hours slept is explained by response time.
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[DOC File]Statistics for Everyone - Fairfield University
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Click on the Chart Wizard on the tool bar (the icon that looks like a bar chart) or select Insert/Chart on the menu bar and hit enter. Choose the XY(Scatter) chart type, hit Next. Step 2: Get the Pearson Correlation Coefficient (r). To find the correlation between the data in cells C1:C26 and D1:D26, click in an empty cell and type:
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[DOC File]Estimating the Sample Size Necessary to Have Enough Power
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Multiple Correlation. For testing the squared multiple correlation coefficient, Cohen computed effect size as . For a squared partial correlation, the same definition is employed, but the squared partial correlation coefficient is substituted for R2.
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[DOC File]Exam Review - Henry County School District
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4. If dataset A of (x,y) data has correlation coefficient r = 0.65, and a second dataset B has correlation r = –0.65, then (a) The points in A exhibit a stronger linear association than B. (b) The points in B exhibit a stronger linear association than A. (c) Neither A nor B has a stronger linear association.
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[DOCX File]Online Resources
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The correct answer is a) There is only a 2% chance that we would get a correlation coefficient this big (or bigger) if the null hypothesis were true. Feedback: A probability value of .02 indicates that the correlation coefficient is significant.
correlation coefficient significance table

[DOCX File]www.fcboe.org
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Correlation Coefficients range from -1 to +1. What does it mean when a score is very close to -1 or +1 (for example, the coefficient is -.98 or +.87)? Give an example of where correlation …
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Correlation coefficient significance chart