Wiki User
∙ 11y agoDirect
Wiki User
∙ 11y agoA linear graph shows a linear equation in which the value of one variable depends on the value of the other variable.
Cause and effect
Graphs showing the relationship (or not) between two independent variables.
linear graph between an independent and independent variable
It shows the independent variable while the Y axis shows the dependent variable
causation
The experiment shows a direct causal relationship between the two variables, indicating that changes in one variable lead to changes in the other. This demonstrates the impact of the manipulated variable on the outcome, without interference from other variables.
The experiment demonstrates a direct cause-and-effect relationship between the two variables, with no interference from other variables. This suggests that changes in the dependent variable can be attributed solely to variations in the independent variable.
that there is a relationship between the two variables. This relationship can be used to predict how changes in one variable will affect the other variable.
No correlation.
A linear graph shows a linear equation in which the value of one variable depends on the value of the other variable.
No. It shows changes in the response variable against changes in the explanatory (or independent) variable(s).
Cause and effect
causation
The experiment shows a causal relationship between the two variables, where changes in one variable directly impact the other without interference from any other variables. This suggests a clear cause-and-effect relationship between the variables being studied.
A scatter plot is a type of graph that shows how one variable changes in response to another. It is used to identify relationships and patterns between two variables.
the p-value is used in statistics. It shows how strong the relationship between the variable are. Normally it is between -1 and 1. The closer it is to one the stronger the relationship is. the p-value is used in statistics. It shows how strong the relationship between the variable are. Normally it is between -1 and 1. The closer it is to one the stronger the relationship is.