0
Add your answer:
Earn +20 pts
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.
Why do graphs mislead?
Graphs can mislead people by the way they are prepared. See related links for good examples of misleading graphs. When you see a graph, you are seeing a summary of the data. Sometimes our data is misleading, so the graph is just presenting misleading data. For example, I show a graph of how much men and women make each year at a company. I see men make more every year, while women just stay about the same. Perhaps the company just has one woman working there. Perhaps in her job, there are no salary increases. I can also not start the y-axis at zero, to exagerrate the differences. A chart should include all the data. Excluding some data can result in a misleading graph. However, in a graph showing changes over period of time, the preparer of the graph has to chose how long a period is relavent. If we are explaining global warming, a plot showing 100 years might be good. But a graph of car accidents per year, perhaps 5 years is more reasonable.
What is a nonlinear graph?
a graph that does not have a straight line...
What is a good graph title for a graph about if people have pets?
do u av a pet m8
How can you describe a situation given a graph?
The answer depends on what type of information is contained in the graph, the form of the graph and how good you are at reading and interpreting that information.
Are graphs good at showing changes and relationships?
Yes.
What are some Good thing's about pie graph's?
They are useful for showing the percentage of the items. This is great graph for surveys, showing the percentage.
Why would you use a pie graph instead of a line graph?
pie graphs show volume and are good for showing the relationship of size. line graphs are good for showing trends which can lead to predictions.
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 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 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 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.
Why do graphs show relationships between variables?
Cuz is math in variable has to be true in good to be with the graph or u know messed up the graph
Are Line graphs are good at showing changes over time?
Yes.
A pie graph showing you the percentage of Washington's main goods?
i think the main good in washington is apples. i am pretty sure
