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Which graph is used to show change in a given variable when a second variable is changed?
A line graph is typically used to show the relationship between two variables and how one variable changes when the other variable is changed. The x-axis represents one variable and the y-axis represents the other variable. Lines connecting data points show how the variable being measured changes as the other variable changes.
Why can a graph be more useful than other means of giving information about the motion of an object?
A graph can provide a visual representation that shows how an object's motion changes over time, making it easier to analyze patterns and relationships. It can also help to identify trends and key points of interest quickly. Additionally, graphs allow for precise measurements and comparisons to be made effectively.
What does the period vs amplitude graph reveal about the relationship between the two variables?
The period vs amplitude graph shows that there is no direct relationship between the period and amplitude of a wave. The period and amplitude of a wave are independent of each other, meaning changes in one variable do not necessarily affect the other variable.
Velocity is the slope of a displacement vs time graph true or false?
False. Velocity is the slope of a position vs time graph, not a displacement vs time graph. Displacement vs time graphs show how an object's position changes over time, while velocity represents the rate of change of position.
A straight line on a graph means there is what kind of relationship between the dependent variable and the independent variable.?
A straight line on a graph indicates a linear relationship between the dependent variable and the independent variable. This means that as one variable changes, the other changes at a constant rate, resulting in a line with a steady slope.
How does connecting the points on a graph affect your data analysis?
They make points in space related to each other. Now they are connected in the problem, instead of just points on the graph.
A bar graph differs from a line graph because?
the points on a bar graph are not connected to each other.
How do you know when there is positive correlation on a graph?
when the points on the graph are close to each other;)
Which graph is used to show change in a given variable when a second variable is changed?
A line graph is typically used to show the relationship between two variables and how one variable changes when the other variable is changed. The x-axis represents one variable and the y-axis represents the other variable. Lines connecting data points show how the variable being measured changes as the other variable changes.
What are the properties of an irreducible graph and how does it impact the connectivity of the graph?
An irreducible graph is a graph where every pair of vertices is connected by a path. This means that there are no isolated vertices or disconnected components in the graph. The property of irreducibility ensures that the graph is connected, meaning that there is a path between any two vertices in the graph. This connectivity property is important in analyzing the structure and behavior of the graph, as it allows for the study of paths, cycles, and other connectivity-related properties.
How are the graph of an equation and the set of all solutions of an equation related?
The coordinates of every point on the graph, and no other points, are solutions of the equation.
What is the significance of strongly connected components in a graph and how do they contribute to the overall structure and connectivity of the graph?
Strongly connected components in a graph are groups of vertices where each vertex can be reached from every other vertex within the same group. These components play a crucial role in understanding the connectivity and structure of a graph. They help identify clusters of closely connected nodes, which can reveal important patterns and relationships within the graph. By identifying strongly connected components, we can better understand the overall connectivity and flow of information in the graph, making it easier to analyze and manipulate the data.
What can a line graph tell you about the relationship between the variables in an experiment?
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
What can a line graph tell you about the relationship between variables in a experiment?
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
What can A line graph tell you about the relationship between the variables in experiment?
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
What can line graph tell you about the relationship between the variables in an experiment?
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
What can a line graph tell you about the relationships between the variables in experiment?
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
