relationship between regression and correlation

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Asked 7/5/2010 7:58:29 AM

Updated 83 days ago|9/21/2024 1:22:37 PM

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User: relationship between regression and correlation

Weegy: Correlation is a measure of association between two variables. The variables are not designated as dependent or independent. [ The two most popular correlation coefficients are: Spearman's correlation coefficient rho and Pearson's product-moment correlation coefficient. When calculating a correlation coefficient for ordinal data, select Spearman's technique. For interval or ratio-type data, use Pearson's technique. The value of a correlation coefficient can vary from minus one to plus one. A minus one indicates a perfect negative correlation, while a plus one indicates a perfect positive correlation. A correlation of zero means there is no relationship between the two variables. When there is a negative correlation between two variables, as the value of one variable increases, the value of the other variable decreases, and vise versa. In other words, for a negative correlation, the variables work opposite each other. When there is a positive correlation between two variables, as the value of one variable increases, the value of the other variable also increases. The variables move together. The standard error of a correlation coefficient is used to determine the confidence intervals around a true correlation of zero. If your correlation coefficient falls outside of this range, then it is significantly different than zero. The standard error can be calculated for interval or ratio-type data (i.e., only for Pearson's product-moment correlation). The significance (probability) of the correlation coefficient is determined from the t-statistic. The probability of the t-statistic indicates whether the observed correlation coefficient occurred by chance if the true correlation is zero. In other words, it asks if the correlation is significantly different than zero. When the t-statistic is calculated for Spearman's rank-difference correlation coefficient, there must be at least 30 cases before the t-distribution can be used to determine the probability. If there are fewer than 30 cases, you must refer to a special table to find the probability of the correlation coefficient. ]
Expert answered|phobicism|Points 2581|

User: any examples

Weegy: go to this link, it has the whole details plus examples too:
Expert answered|phobicism|Points 2581|

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Asked 7/5/2010 7:58:29 AM

Updated 83 days ago|9/21/2024 1:22:37 PM

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The relationship between regression and correlation is: Regression quantifies the relationship between variables by predicting one based on the other, while correlation measures the strength and direction of their linear relationship.

Added 83 days ago|9/21/2024 1:22:35 PM

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