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Put your values into cells. Then using the chart settings create an XY or Scatter chart. You can then pick the appropriate variation, either just showing the dots themselves, or linking them by lines.

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13y ago

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Related Questions

How do you make a dot plot on Excel?

It's called an X-Y scatter plot. The procedure is different depending on which version you have. Basically, you highlight all of the cells containing, the data; click on 'Insert' then click the icon that looks like a 'dot plot' and it should have the word 'scatter' underneath it.


Graph that is used to compare the frequencies of data?

A dot plot


What is a graph that shows data along a number line?

A dot plot is a type of graph that shows data points along a number line. Each data point is represented by a dot above the corresponding value on the number line. Dot plots are useful for displaying the distribution of data and identifying patterns or outliers.


What shows groups of data arranged by place value?

Dot plot


What is placing dots on all data points?

You can have a scatter plot where the data is displayed as a collection of points. You can also have a dot plot where a set of data is represented by placing dots over a number line to represent the frequency of data.


What is the difference between line plot and dot plot?

A line plot displays data points along a number line, connecting them with lines to show trends or changes over time, making it useful for visualizing continuous data. In contrast, a dot plot represents individual data points as dots above a number line, which helps in displaying the frequency of values and comparing distributions within a dataset. While both can show the same data, line plots emphasize trends, whereas dot plots focus on the distribution and frequency of individual values.


What is the difference between a dot plot and line plot?

Oh, dude, a dot plot is like a bunch of dots representing data points on a number line, while a line plot is like connecting those dots with lines to show the frequency of each data point. So, like, one is just dots hanging out, and the other is dots with a purpose, you know?


Why would it be difficult to extrapolate data from a dot to dot graph?

It would be difficult to extrapolate data from a dot plot graph because dot plots are primarily used for displaying and comparing individual data points, rather than showing trends or patterns in the data. Since dot plots do not typically include lines or curves to connect the data points, it can be challenging to accurately estimate values between the plotted points or beyond the range of the data provided. Additionally, dot plots are not designed for precise numerical analysis or prediction, making it unreliable for extrapolating data.


What are some measures of center and spread that you can find from a dot plot?

From a dot plot, measures of center include the mean and median, which provide insights into the average and the middle value of the data set, respectively. Measures of spread can be identified through the range, which is the difference between the maximum and minimum values, as well as the interquartile range (IQR), which indicates the spread of the middle 50% of the data. Additionally, the distribution shape observed in the dot plot can highlight variability and potential outliers.


What is a dot plot?

A dot plot is a plot made of dots which is useful for highlighting clusters and identifying the gaps in between 2 points/ values


What does plot a plot mean?

it means you put a dot on the graph where they tell you to.


How can you determine if the dot plot correctly shows the data?

To determine if a dot plot accurately represents the data, first check that the number of dots corresponds to the total frequency of each category or value. Ensure that the dots are evenly spaced and correctly aligned with the appropriate values on the axis. Additionally, verify that the distribution of dots reflects any patterns or trends present in the original dataset, such as clusters or gaps. Finally, compare the dot plot against the summary statistics (mean, median, mode) to ensure consistency.