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What kind of graph shows changes to data over time with points connected to each other?
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∙ 6y ago
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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.
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.
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.
When you graph acceleration vs time you get what shape?
The shape of the graph of acceleration vs. time depends on the type of motion. For example, in free fall, the graph would be a straight line since acceleration is constant. In other cases, the graph might show different patterns, such as curves or step functions, depending on changes in acceleration over time. It's essential to consider the specific motion being analyzed to determine the shape of the graph.
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.
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 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 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.
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 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 is extreme in math?
I believe the correct term is "extrema" not "extreme." But anyway, extrema are the lowest or highest points on a graph. All other points are higher than the minima, and all other points are lower than the maxima. In the graph y=x2, (0, 0) is the minima because that is the lowest extent of the range of that graph. There is no maxima because the y value will increase to infinity.
