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Where are the dependent and independent variables located on a graph explain with example?
The independent variable (such as time) is places on the x-axis of a graph. Always place the things that will never change on the x-axis. The dependent variable is then placed on the y-axis. The difference between the independent and dependent variable is that the independent variable in an experient does not change it is what stays constent, it is what is used to measure the dependent variable. On the other hand the dependent variable is what the experiment is testing for and what depends on the independent variable.
What else can I help you with?
What is the difference between simple and multiple linear regression?
I want to develop a regression model for predicting YardsAllowed as a function of Takeaways, and I need to explain the statistical signifance of the model.
What are interfering variables?
An intervening variable is a hypothetical internal state that is used to explain relationships between observed variables
Explain why bar graphs are useful for comparing data?
so you know the relationship between the 2 variables
Briefly explain in your own words The Central Limit Theorem?
According to the Central Limit Theorem, the arithmetic mean of a sufficiently large number of iterates of independent random variables at a given condition is normally distributed. This is based on the condition that each random variable has well defined-variance and expected value.
Is a mutually exclusive event also an idependent event?
Two events are mutually exclusive if they both cannot occur together. For example, if you toss a coin , let A represent a head showing up and B represent a tail showing up. These two events are mutually exclusive. You can only have a tail or head. To explain an independent event, pick a card from a deck of 52. The probability that it is a king is 4/52. If you put the card back and draw again, the probability is still 4/52. The second draw is independent of the first draw. If you draw another card without putting it back, its probability changes to 3/51. It becomes a dependent event. In short, a mutually exclusive event is not an independent event.
What is another word for independent and dependent variables?
Another term for independent variables is "predictor variables" or "explanatory variables," as they are used to predict or explain changes in the dependent variable. Dependent variables can also be referred to as "response variables" or "outcome variables," since they represent the outcome that is being measured in relation to the independent variables.
What are independent and dependent variables under organizational Behaviour Explain with examples?
In organizational behavior, independent variables are factors that are manipulated or changed to observe their effect on other variables, while dependent variables are the outcomes or responses that are measured. For example, if a company implements a new training program (independent variable) to improve employee productivity, the resulting changes in productivity levels (dependent variable) are observed to assess the program's effectiveness. Another example could be studying the impact of leadership styles (independent variable) on employee satisfaction (dependent variable).
Can you explain the relationship between independent and dependent variables within a hypothesis?
In a hypothesis, the independent variable is the factor that is manipulated or changed, while the dependent variable is the factor that is measured or observed to see how it is affected by the independent variable. The relationship between them is that changes in the independent variable are believed to cause changes in the dependent variable, allowing researchers to test their hypothesis and draw conclusions.
Intervening variable can be measured?
Intervening variables cannot be directly measured because they are theoretical constructs that explain the relationship between the independent and dependent variables in a study. Their impact is inferred based on the relationship between the variables of interest.
What are the Difference between endogenous and exogenous variables?
Endogenous variables are important in econometrics and economic modeling because they show whether a variable causes a particular effect. Economists employ causal modeling to explain outcomes (dependent variables) based on a variety of factors (independent variables), and to determine to which extent a result can be attributed to an endogenous or exogenous cause.
What is the Relation between moderating and intervening variables?
Moderating variables influence the strength or direction of the relationship between an independent and a dependent variable, indicating how or when certain effects occur. In contrast, intervening variables (or mediators) explain the process through which the independent variable affects the dependent variable, acting as a conduit for this relationship. While moderators clarify under what conditions effects take place, interveners elucidate how those effects are transmitted. Both play crucial roles in understanding the complexity of relationships in research.
Can you explain a independent variable?
Independent variables do not depend on any other. Like when you count something with time, the time is independent. If you measure the elevation of a road with distance, the distance is independent.
Can you explain independent variable?
In a scientific experiment there are different variables. Variables being the factors that you can alter to obtain your results. The independent variable is the factor that you directly alter and the dependent variable is the one that is affected by this. E.g. You pull a cart over 1m and measure the time taken. The force you exert is the independent variable as you are controlling it and time is the dependent variable because it is the variable that is affected by the force you exert. Like if you pulled it really hard the time taken would be really short, and if you pulled it gently the time taken would be really long, etc.
What is the difference between simple and multiple linear regression?
I want to develop a regression model for predicting YardsAllowed as a function of Takeaways, and I need to explain the statistical signifance of the model.
What is a dependant variable?
A dependent variable is the outcome or result in an experiment that is measured or observed. It is influenced by changes in the independent variable, which is controlled or manipulated in the experiment. The dependent variable is what researchers are trying to understand or explain through their study.
Can an experiment that has sveral variables be used to explain a theory?
Yes. A good example of which is the Ideal Gas Law. PV=nRT You have four variables and one constant.
What is what you want to explain in experiment called?
The aspect you want to explain in an experiment is called the "dependent variable." This variable is the outcome or response that you measure to assess the effect of changes made to the independent variable, which is manipulated during the experiment. Essentially, the dependent variable reflects the results of the experimental conditions.
