What is a strong negative correlation

    • [DOC File]Correlation Analysis for USCM8 CERs

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      B) a strong negative linear correlation. C) no linear correlation but that there may be some other relationship. D) insufficient evidence to make any decision about the correlation of the data.

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    • [DOCX File]Riverside City College

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      a) There is a moderate, positive correlation. b) The relationship is strong and negative. c) The relationship is weak but positive. d) There is no linear relationship between these two variables. 57. The time of day and the channel of broadcast are examples of: Explanatory variables b) Lurking variables

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    • [DOC File]S.ID.C.8.CorrelationCoefficient.doc - JMAP

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      A strong/negative rate of growth will occur by over watering a plant while irregular watering could contribute to a moderate/negative correlation. The graph depicting no correlation could explain by plants being planted in pots of different colors has no correlation to the plant’s rate of growth.

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    • [DOC File]Sample Test Questions -- Test 1 - University of Florida

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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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    • [DOC File]Interpreting Correlations & Determining Cause and Effect ...

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      Pearson's correlation coefficient between two sets of numbers is a measure of the linear association between these two sets. It measures the degree to which two sets of data move together in a linear manner. A high positive correlation indicates a strong direct linear movement and a high negative correlation represents a strong inverse ...

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    • How Are Correlations Are Used in Psychology Research

      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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    • [DOCX File]Avon Community School Corporation / Homepage

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      1) strong negative correlation 3) weak negative correlation 2) strong positive correlation 4) weak positive correlation 6 The points in the scatter plot below represent the ages of automobiles and their values. Based on this scatter plot, it would be reasonable to conclude: 1) Age and value have a coefficient of correlation that is less than zero.

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

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      A. There is a very strong linear positive correlation between subscribers and cell service. regions. B. There is a strong linear negative correlation between subscribers and corded phone sales. CORRELATION COEFFICIENTS A . correlation coefficient, denoted by r, is a number from -1 to 1 that measures how well a line fits a set of data pairs (x, y).

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    • [DOC File]Correlation - Radford University

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      Over the past 50 years, there has been a strong negative correlation between average annual incomes and. record times to run 1 mile. In other words, average annual incomes have been rising while the record time to run 1 mile has been decreasing. a) Do you think increasing incomes cause decreasing times to …

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    • [DOC File]Math 2, Draw Scatter Plots and Best-Fitting Lines

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      Describe the relationship between two variables (strong/weak, positive/negative/none, etc.) when the correlation coefficient, r, is. a) near -1. b) near 0. c) near 1. 5. Look at the following diagrams. State whether each diagrams shows high linear correlation (strong), moderate or low linear correlation (weak), or no linear correlation. 6.

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