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Which type graph of graph is most useful for making predictions about dependent variables?
line graph
What else can I help you with?
Which graph is most useful for showing how the relationship between independent and dependent variables changes over time?
Time Series.
How do you use linear equation for forecasting?
Linear equations can be used for forecasting by establishing a relationship between a dependent variable (such as sales or demand) and one or more independent variables (like time, price, or marketing spend). By analyzing historical data, you can create a linear regression model to predict future values based on this relationship. Once the equation is formulated, you can input future values of the independent variables to estimate the dependent variable, aiding in decision-making and planning. This method is particularly useful for identifying trends and making data-driven forecasts.
Can a mathematical expression have no variables?
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
What does a regression model predict about the dependent variable?
It gives a measure of the extent to which values of the dependent variable move with values of the independent variables. This will enable you to decide whether or not the model has any useful predictive properties (significance). It also gives a measure of the expected changes in the value of the dependent variable which would accompany changes in the independent variable. A regression model cannot offer an explanation. The fact that two variables move together does not mean that changes in one cause changes in the other. Furthermore it is possible to have very closely related variables which, because of a wrongly specified model, can show no correlation. For example, a LINEAR model fitted to y=x2 over a symmetric range for x will show zero correlation!
Why are mathematical model important?
They are useful in situation with many variables and can create useful digital images and can represent how a system or process works or.... all of the above....
What type is most useful for making predictions about predictions about dependent variables?
Data tabel
Which graph is most is most useful for making predictions about dependent variables?
line graph
Which type of graph is most useful for making predictions dependent variables?
line graph
What type of graph is most useful for making predictions about dependent variables?
A regression graph is most useful for predicting dependent variables, as it shows the relationship between the independent and dependent variables, allowing for the prediction of future values.
When this is strong can be useful for making predictions?
i believe the answer is.... A strong OBSERVATION can be useful for making predictions
What are generalizations that are useful in making predictions based on data?
Predictions
When is a bar graph useful?
when a sets of data can be separated by 2 orders of variables, which are the independent & dependent variables.
Which graph is most useful for showing how the relationship between independent and dependent variables changes over time?
Time Series.
Summarize how the periodic table is organized and tell this organization is useful?
The number of electrons an element has determine the organization. This table helps in making predictions about how an element will chemically react.
What variables are useful for two-way communication between modules?
Constant Variables
What is ex-post-facto design?
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
What is ex-post facto design?
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
