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Which statement best describes correlation and regression analysis?a.Correlation determines the causality between variables, while regression predicts the values of dependent variables.b.Correlation measures the strength and direction of the linear relationship, while regression predicts the values of dependent variables based on independent variables.c.Correlation measures the spread of data, while regression measures the variability of data.d.Correlation and regression are both used to determine the mean and median of a dataset.Clear my choice

Question

Which statement best describes correlation and regression analysis?a.Correlation determines the causality between variables, while regression predicts the values of dependent variables.b.Correlation measures the strength and direction of the linear relationship, while regression predicts the values of dependent variables based on independent variables.c.Correlation measures the spread of data, while regression measures the variability of data.d.Correlation and regression are both used to determine the mean and median of a dataset.Clear my choice

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Solution

b. Correlation measures the strength and direction of the linear relationship, while regression predicts the values of dependent variables based on independent variables.

Similar Questions

What is the primary difference between regression and correlation? Correlation measures strength, while regression measures direction. Regression provides a quantitative prediction, while correlation measures the strength of a linear relationship. Regression can handle multiple variables, while correlation can only handle two. Correlation requires a linear relationship, while regression does not.

How do regression and correlation compare to each other?

Which statement about correlation and causation is true? Correlation always implies causation. Causation always implies correlation. Correlation does not necessarily imply causation. Causation and correlation are synonymous terms.

Which statement about correlation is FALSE?The correlation of a data set can be positive, negative, or 0.Correlation is used to define the variables of only non-linearly related data sets.Correlation between the variables of the data set can be measured.Correlation is the degree to which the two variables of a data set resemble each other.

Which one of the following statement is not correctSelect one:a.Regression coefficient varies between -1 to +1.b.Correlation is diagrammatically represented by Scatter Diagram.c.The correlation coefficient does not change if you interchange the variables.d.Regression analysis shows the rate of change in dependent variable with one-unit change (rise) in dependent variable.Clear my choiceQuestion 2Not yet answeredMarked out of 1.00Flag questionTipsQuestion textUnlike regression, in correlation we do not require any dependent and independent variableSelect one:a.Trueb.False

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