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What else can I help you with?
How do positive correlations and negative correlations differ?
An example of a positive correlation is: the number of cars on the road and the number of greenhouse gas emissions there are. As one of those rises, so does the other. A negative correlation is when one statistic rises causing the other to drop. Look at a few scatter plots and you will easily be able to see positive and negative correlations
What type of relationship is shown by the scatter plot?
To accurately describe the type of relationship shown by a scatter plot, I would need to see the plot itself. Generally, scatter plots can depict various relationships such as positive, negative, or no correlation. A positive relationship indicates that as one variable increases, the other also increases, while a negative relationship shows that as one variable increases, the other decreases. If the points are randomly scattered without any discernible pattern, it suggests no correlation.
When should you use a scatter graph?
The most common plots are bar charts and scatter/ line plots. Scatter plots as used in the Excel program, have continuous scales on the x and y coordinates. So, if your data is measured on a continuous scale, which includes many physical measurements are (ie: temperature, weights, speed, lengths or heights) then a scatter plot makes sense.
Why do scatter plots of summary statistics show less scatter than those of individual observations?
It's bc extrapolation is invloved
How are scatter plots useful?
megan turn on your headlights! the snake is in the bush ^what kind of answer was that -.-
What are the bad things about using scatter plots?
There is nothing bad about using scatter plots.
How do positive correlations and negative correlations differ?
An example of a positive correlation is: the number of cars on the road and the number of greenhouse gas emissions there are. As one of those rises, so does the other. A negative correlation is when one statistic rises causing the other to drop. Look at a few scatter plots and you will easily be able to see positive and negative correlations
What type of relationship is shown by the scatter plot?
To accurately describe the type of relationship shown by a scatter plot, I would need to see the plot itself. Generally, scatter plots can depict various relationships such as positive, negative, or no correlation. A positive relationship indicates that as one variable increases, the other also increases, while a negative relationship shows that as one variable increases, the other decreases. If the points are randomly scattered without any discernible pattern, it suggests no correlation.
Where do you plot most scatter plots?
a scatter plot is a piece of data that shows you how to make a prediction
When should you use a scatter graph?
The most common plots are bar charts and scatter/ line plots. Scatter plots as used in the Excel program, have continuous scales on the x and y coordinates. So, if your data is measured on a continuous scale, which includes many physical measurements are (ie: temperature, weights, speed, lengths or heights) then a scatter plot makes sense.
Why did Francis Galton invent scatter plots?
pala tau
Are trends best observed in scatter plots line graphs or circle graphs?
scatter plot and line graph
How do you read scatter plots?
It would be just like a Coordinate Grid.
Why do scatter plots of summary statistics show less scatter than those of individual observations?
It's bc extrapolation is invloved
When are scatter plots used?
to show the relationship between 2 sets of data
How are scatter plots useful?
megan turn on your headlights! the snake is in the bush ^what kind of answer was that -.-
3-5 scatter plots and trend lines?
Scatter plots are graphical representations that display the relationship between two quantitative variables, with each point representing an observation in the dataset. A trend line, often a linear regression line, can be added to these plots to illustrate the overall direction or trend of the data points, helping to identify patterns or correlations. By analyzing multiple scatter plots, one can compare different datasets or relationships, making it easier to draw insights from the data. The combination of scatter plots and trend lines is a powerful tool for visualizing and interpreting statistical relationships.
