Acceleration is change of velocity per unit time. Acceleration =(v2 - v1)/t. It is also related to force and mass: F = ma.
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.
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.
Force is an independent variable that can cause acceleration in an object. The relationship between force and acceleration is described by Newton's second law of motion, which states that the acceleration of an object is directly proportional to the net force acting on it.
The suvat equations used to describe motion show the relationship between the variables of displacement (s), initial velocity (u), final velocity (v), acceleration (a), and time (t). These variables are interconnected and can be used to calculate different aspects of an object's motion.
The relationship between acceleration and mass is that acceleration is inversely proportional to mass. This means that as mass increases, acceleration decreases, and vice versa.
Depends on the relationship between the independent and dependent variables.
It depends on the relationship, if any, between the independent and dependent variables.
control
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.
dependent variable is current and independent variable is resisitance
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.
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.
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.
"Player" is the independent variable, and "Points" is the dependent variable.
Time Series.
To illustrate the relationship between one or more dependent variables and a variable (often an independent variable).
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.