Scatter Plots & Trend Lines

Front

What is a scatter plot?

Back

A scatter plot is a graphical representation of two variables where each point represents an observation in the dataset, showing the relationship between the variables.

Front

What does a strong correlation in a scatter plot indicate?

Back

A strong correlation indicates that the data points closely resemble a line, suggesting a strong relationship between the two variables.

Front

What type of correlation is represented when the data points trend upwards from left to right?

Back

Positive correlation.

Front

What does a weak correlation in a scatter plot indicate?

Back

A weak correlation indicates that the data points slightly resemble a line but are more spread out, suggesting a weaker relationship between the variables.

Front

What is the line of best fit?

Back

The line of best fit is a straight line drawn in a scatter plot that best represents the data points, showing the overall trend of the relationship between the two sets of data.

Front

How can you determine the line of best fit visually?

Back

The line of best fit can be determined visually by drawing a line that passes through the center of the data points, minimizing the distance from the points to the line.

Front

What does it mean if a scatter plot has no correlation?

Back

No correlation means that there is no discernible relationship between the two variables, and the data points are scattered randomly.

Front

What is the purpose of using scatter plots in data analysis?

Back

Scatter plots are used to visually assess the relationship between two quantitative variables, helping to identify trends, correlations, and potential outliers.

Front

What is the significance of outliers in a scatter plot?

Back

Outliers are data points that fall far away from the trend of the other points, which can indicate anomalies or errors in data collection and can affect the line of best fit.

Front

How do you interpret a scatter plot with a negative correlation?

Back

A scatter plot with a negative correlation shows that as one variable increases, the other variable tends to decrease, indicating an inverse relationship.