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[DOCX File]JustAnswer
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Mar 04, 2013 · Critical values: r = ±0.878, no significant linear correlation. 11. Find the value of the linear correlation coefficient r.The paired data below consist of the test scores of 6 randomly selected students and the number of hours they studied for the test.Hours 5 10 …
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[DOC File]STA 2023 Final Exam Review Notes
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Linear Correlation Coefficient, R measures the strength of the linear relationship between the paired x and y values in a sample. R is calculated using the formula below. R can take on values between -1 and 1. R values close to 1 indicate a strong positive linear relationship. R values close to -1 indicate a strong negative linear relationship.
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[DOC File]Correlation - Radford University
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If your correlation coefficient is a larger negative number than the critical region, your data indicate a significant negative correlation. The closer your r-value is to —1.0, the stronger the negative correlation. REPORTING YOUR RESULTS. The examples below show how the results of your analysis of linear correlation should be presented ...
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[DOC File]A correlation exists between two quantitative variables ...
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Jan 01, 2018 · critical value approach (in textbook– not done in class, not in chapter notes) p-value tells us how likely it is that a given sample correlation coefficient, r, will occur if ρ = 0 (if there was not any linear relationship between x and y in the population)
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[DOC File]OCR Document
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Use the regression line to predict the value of a pick up track that is 3 years old. For the next two problems construct a scatterplot, find the value of the linear correlation coefficient r, find the critical value of r from Table A – 5 by using a = 0.05, and determine whether there is a linear correlation between the two variables. #14 p.503.
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[DOC File]Visualizing and Understanding Confidence Intervals Using ...
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Thus, for a sample of size n = 5, the critical value is 0.878, so that the correlation coefficient for the data must be larger than this number in order to conclude that there is a statistically significant level of correlation.
critical value for pearson correlation

Critical value linear correlation coefficient