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No, you draw a general line through the middle of the points.(A line of fit)

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14y ago

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Points that represent data values are connected using line segments?

Not necessarily. In a scatter plot or regression they would not.


Which type of chart shows the pattern or relationships between sets of data points?

A scatter plot.A scatter plot.A scatter plot.A scatter plot.


How is a scatter plot different from a line graph?

Scatter plots show how much one variable is affected by another,A graph that uses points connected by lines to show how something changes in value


How do you draw a scatter graph?

Plot points on Cartesian coordinates.


What is a graph made of only distinct points?

Scatter plot


What is shown on a scatter plot when the points show no pattern?

randomness of data


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

you graph the points going downwards


A line that best fits the data points on a scatter plot?

A straight line which best describes the data on a scatter plot is called a "line of best fit". The line could pass through some of the points, all of them, or none of them.


A line that is very close to most of the data points in a scatter plot?

line of fit


What is a straight line that comes closest to the points on a scatter plot?

Line of best fit


What is the straight line that comes closest to the points on a scatter plot?

line of best fit


How is a scatter plot that shows no correlation different than a scatter plot that shows a negative correlation?

A scatter plot that shows no correlation displays points that are randomly distributed without any discernible pattern, indicating that there is no relationship between the two variables. In contrast, a scatter plot that shows a negative correlation features points that trend downward from left to right, suggesting that as one variable increases, the other tends to decrease. The absence of a clear trend in a no-correlation plot contrasts with the consistent directional relationship observed in a negative correlation plot.