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What is correlation in data analysis?

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Correlation is a statistical measure that describes the extent to which two variables change together. A positive correlation means that as one variable increases, the other also increases, while a negative correlation means that as one variable increases, the other decreases.

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What does a negative correlation indicate?

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A negative correlation indicates that as one variable increases, the other variable tends to decrease. For example, the number of days absent from school may negatively correlate with a student's math average.

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What does a positive correlation indicate?

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A positive correlation indicates that as one variable increases, the other variable also increases. For example, if students read more books, their English grades may improve.

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What is a linear correlation model?

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A linear correlation model describes a relationship between two variables that can be represented by a straight line on a graph. It indicates a constant rate of change.

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What is the equation of a line in slope-intercept form?

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What is the line of best fit?

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The line of best fit is a straight line that best represents the data on a scatter plot. It minimizes the distance between the line and all the points in the dataset.

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What does the slope of a line represent in a regression model?

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The slope of a line in a regression model represents the rate of change of the dependent variable for each unit change in the independent variable.

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What is the purpose of regression analysis?

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The purpose of regression analysis is to identify the relationship between variables and to predict the value of a dependent variable based on the value of one or more independent variables.

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What is a scatter plot?

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A scatter plot is a graphical representation of two variables where each point represents an observation. It helps to visualize the relationship between the variables.

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What is the correlation coefficient?

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The correlation coefficient is a numerical measure that indicates the strength and direction of a linear relationship between two variables, ranging from -1 to 1.