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Q: Which type graph of graph is most useful for making predictions about dependent variables?

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i believe the answer is.... A strong OBSERVATION can be useful for making predictions

Predictions

when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.

Time Series.

Constant Variables

There are many probably earthquake precursors that could lead to useful predictions of when one will occur. Foreshocks are one way to predict when a quake is coming.

The number of electrons an element has determine the organization. This table helps in making predictions about how an element will chemically react.

The number of electrons an element has determine the organization. This table helps in making predictions about how an element will chemically react.

Ex Post Facto (also called Causal Comparative Research) is useful whenever: • We have two groups which differ on an independent variable and we want to test hypotheses about differences on one or more dependent variables OR • We have two groups which already differ on a dependent variable and we want to test hypotheses about differences on one or more independent variables

True

Being able to use explanations from the natural world, to make useful predictions.

Yes, a mathematical expression can have no variables, but such an expression is usually not very useful. An example of a valid expression without variables is: 1+1=2

Scientific theories enable scientists to make accurate predictions about new situations.

big booties are always nice in the summer so be prepeard

controls for multiple variables in an experiment.

it's useful for making spaghetti

what kind of poem is a homonym useful in

For making bread

It is very useful and interesting to be able to enter data for two variables, graph those points in a scatter plot, and then generate a line of best fit through those points. From the line of best fit, it is fairly simple to generate a linear equation. A line of best fit is drawn through a scatterplot to find the direction of an association between two variables. This line of best fit can then be used to make predictions.

There are 3 variables in an experiment, basically. They are Dependent, Independent and Controlled variable.Firstly,Dependent variable means the thing you want to observe.In other words,the scientist focuses his or her observations on the dependent variable to see how it responds to the change made to the independent variable. The new value of the dependent variable is caused by and depends on the value of the independent variable.Independent Variable means the thing that you change while doing your observation.In other words,the independent variable is the one that is changed by the scientist.And the Controlled Variable means the thing(s) you remain constant through your observation.I wish this could be useful for you :)Good luckFatmanur Åžahin

it makes us self dependent.

The eight reading strategies are predictions, think aloud, making connections, questioning, visualization, determining importance, synthesizing, and inferencing. These strategies are very useful because it helps the reader to better understand what they read.

a tessellation is useful when you are making rugs or even tile patterns