answersLogoWhite

0

The independent variable is the one thing in the experiment that does change. The dependent variable "depends" on the independent variable. For example if you were testing to see how well plants grow in the dark, and you put one plant in a closet and the other by a window. The independent variable would be the amount of sunlight that each plant gets. The dependent variable would be if the plants grew or not because it depends on how much sunlight each plant got.

User Avatar

Wiki User

12y ago

Still curious? Ask our experts.

Chat with our AI personalities

ProfessorProfessor
I will give you the most educated answer.
Chat with Professor
LaoLao
The path is yours to walk; I am only here to hold up a mirror.
Chat with Lao
ReneRene
Change my mind. I dare you.
Chat with Rene

Add your answer:

Earn +20 pts
Q: What is dependent and independent variables in the scientific method?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about Math & Arithmetic

Why is an independent variable important?

it is important because it is the variable that will never change you dependent variable changes due to your independent variables value


What is difference between scientific and unscientific method of research?

scientific is science and unscientific method is not scientific


What is the difference between corelation and regression?

I've included links to both these terms. Definitions from these links are given below. Correlation and regression are frequently misunderstood terms. Correlation suggests or indicates that a linear relationship may exist between two random variables, but does not indicate whether X causes Yor Y causes X. In regression, we make the assumption that X as the independent variable can be related to Y, the dependent variable and that an equation of this relationship is useful. Definitions from Wikipedia: In probability theory and statistics, correlation (often measured as a correlation coefficient) indicates the strength and direction of a linear relationship between two random variables. In statistics, regression analysis refers to techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (also called a response variable) and of one or more independent variables (also known as explanatory variables or predictors). The dependent variable in the regression equation is modeled as a function of the independent variables, corresponding parameters ("constants"), and an error term. The error term is treated as a random variable. It represents unexplained variation in the dependent variable. The parameters are estimated so as to give a "best fit" of the data. Most commonly the best fit is evaluated by using the least squares method, but other criteria have also been used.


Who were the two men who made the scientific method?

No two men invented the scientific method. The scientific method is a subjective concept that differs between scientists and institutions.


How do you solve using elimination method 2x-y equals -2?

4