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How do you comment on a scatter graph?
0:00 1:54 Suggested clip Describing Scatter plots: Strength, Form, Direction, & Outliers YouTubeStart of suggested client of suggested clip Describing Scatter plots: Strength, Form, Direction, & Outliers
How do you describe the correlation of a scatter graph?
A scatter plot is used to represent a correlation between two variables. There are two types of correlations: positive and negative. Variables that are positively correlated move in the same direction, while variables that are negatively correlated move in opposite directions.
How do you describe the trend in a scatter plot?
A scatter plot shows a positive trend if y tends to increase as x increases. A scatter plot shows a negative trend if y tends to decrease as x increases. A scatter plot shows no trend if there is no obvious pattern.
How do you describe the strength of a scatter plot?
If variable Y also gets bigger, the slope is positive. But if variable Y gets smaller, the slope is negative. Strength refers to the degree of “scatter” in the plot. If the dots are widely spread, the relationship between variables is weak. If the dots are concentrated on a line, the relationship is strong.
How do you describe the correlation of a scatter plot?
A scatter plot is used to represent a correlation between two variables. There are two types of correlations: positive and negative. Variables that are positively correlated move in the same direction, while variables that are negatively correlated move in opposite directions.
How would you describe the relationship between two variables on a scatter plot?
The relationship between two variables is called their correlation. Scatter plots usually consist of a large body of data. The closer the data points come when plotted to making a straight line, the higher the correlation between the two variables, or the stronger the relationship.
How do you describe a correlation?
Correlation is usually defined as a measure of the linear relationship between two quantitative variables (e.g., height and weight). Often a slightly looser definition is used, whereby correlation simply means that there is some type of relationship between two variables.
How you can determine a type of correlation by looking at a scatter plot?
Positive Correlation: as one variable increases so does the other. Height and shoe size are an example. As one's height increases so does the shoe size. Negative Correlation: as one variable increases, the other decreases. No Correlation: there is no apparent relationship between the variables.
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