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What else can I help you with?
If the independent variable increases what happens to the dependent variable?
It depends on the relationship, if any, between the independent and dependent variables.
What is the relationship between Hypothesis and Variables?
A hypothesis is a testable statement or prediction about the relationship between variables in a research study. Variables are the elements that can change or vary, typically classified as independent (manipulated) and dependent (measured). The hypothesis often posits how changes in the independent variable will affect the dependent variable, guiding the research design and experimentation. Thus, the relationship between a hypothesis and variables is foundational for empirical investigation and analysis.
A procedure used for finding the equation of a straight line that provides the best approximation for the relationship between the independent and dependent variables is the?
Least Squares method
What is regression analysis?
In statistics, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables.
Difference between a casual relationship and correlation?
i am not sure. it seems that casual relationship compares between to things where there is no relationship and no sense. just is. on the other hand, an actual relationship does make sense. both these phrases mean the the same thing: comparing 2 different independent and dependent variables. it's just that casual relationship is inconsistent and makes no sense.
As the independent variable increases the dependent variable does what?
Depends on the relationship between the independent and dependent variables.
If the independent variable increases what happens to the dependent variable?
It depends on the relationship, if any, between the independent and dependent variables.
What are the dependent and independent variables in relationship between resistance and current at constant voltage?
dependent variable is current and independent variable is resisitance
What is the relationship between independent and dependent variables?
Depends on the experiment - there may be no relationship. Typically proportional, inversly proportional, proportional to the log and similar are given in set experiments at schools. So a staight line going up and straingt line going down or a curve of some sort when drawn as a line graph.
What is the differecnce between independent variables and dependent variables?
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
What is the differences between independent and dependent variables?
One is dependent and one is independent
13 What is the relation between dependent and independent variables?
Independent variables are those that you change in an experiment. Dependent variables are the ones that you measure in an experiment. Dependent variables are influenced by the independent variables that you change, so they are dependent upon the independent variable. Generally, experiments should have only one independent variable.
What term describes the relationship in which the dependent and independent variables in a graph both increase?
The term that describes the relationship in which both the dependent and independent variables in a graph increase is called a "positive correlation." In a positively correlated relationship, as the independent variable increases, the dependent variable also tends to increase, indicating a direct relationship between the two. This is often represented by an upward-sloping line on a graph.
What is the relationship between the dependent and independat variables?
The dependent variable is influenced by changes in the independent variable. The dependent variable's values depend on the values of the independent variable. This relationship is often explored through statistical analysis in research studies.
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.
The function N gives a relationship between the variables Player and Points?
"Player" is the independent variable, and "Points" is the dependent variable.
Which graph is most useful for showing how the relationship between independent and dependent variables changes over time?
Time Series.
