Scatterplot Predictions

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What is a scatterplot?

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A scatterplot is a graph that displays values for typically two variables for a set of data. Each point represents an observation in the dataset.

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What does a positive correlation in a scatterplot indicate?

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A positive correlation indicates that as one variable increases, the other variable also tends to increase.

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What does a negative correlation in a scatterplot indicate?

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A negative correlation indicates that as one variable increases, the other variable tends to decrease.

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What does no correlation mean in a scatterplot?

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No correlation means there is no apparent relationship between the two variables; changes in one variable do not predict changes in the other.

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How can you predict values using a scatterplot?

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You can predict values by finding the trend line or pattern in the scatterplot and using it to estimate the value of one variable based on the other.

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What is the purpose of using scatterplots in data analysis?

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Scatterplots are used to visually assess the relationship between two quantitative variables and to identify trends, patterns, or outliers.

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What is a trend line in a scatterplot?

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A trend line is a straight line that best represents the data on a scatterplot, showing the general direction of the data points.

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How do you determine the strength of a correlation in a scatterplot?

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The strength of a correlation can be determined by how closely the data points cluster around the trend line; tighter clusters indicate stronger correlations.

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What is an example of a positive correlation?

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An example of a positive correlation is the relationship between study time and test scores; generally, more study time leads to higher test scores.

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What is an example of a negative correlation?

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An example of a negative correlation is the relationship between absences and exam scores; generally, more absences lead to lower exam scores.