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Q: Does a scatter plot have a linear relationship?
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When looking for a mathematical relationship between two variables use?

line graph or a scatter plot.


Is a curved line on a scatter plot still considered linear?

No, it's not consider as a linear scatter plot, because, it's non-linear.


How do you write a linear equation for a scatter plot?

l


Is it possible for a scatter plot to have a positive or negative association that is not linear?

Certainly. It could, for example, be a power relationship such as y = x^3


What type of graph is best to use to show the relationship between sets of data?

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


What does a scatter plot with negative linear relationship look like?

A straight line of points going from top left towards bottom right.


How can a scatter plot be used?

A scatter plot can be used to see if there is any relationship between two variables. It can also give a general idea of the nature of that relationship (linear, quadratic, logarithmic, inverse square, etc; whether or not the relationship remains constant over the domain, whether or not the variation remains constant (homoscedasticity), and so on.


Is it possible to make a prediction based in a scatter plot with no correlation?

No, it is not possible to make accurate predictions based on a scatter plot with no correlation. A scatter plot with no correlation means that the data points are randomly scattered and do not follow any specific pattern or trend. Without a correlation, it is difficult to establish a relationship between the variables and make reliable predictions.


What is observed in a scatter plot when there is an inverse relationship between x and y?

no


Which graph demonstrates a relationship between the variables?

A scatter plot.


Judging from this scatter plot what kind of relationship does there seem to be between seniority and job performance?

no relationship


When should you use a scatter plot?

You should use a scatter plot when you want to show the relationship between an independent and a dependent variable in a manner that is quick and easy to view.