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To create a linear graph, you need at least two data points. These points are necessary to establish a line, as they define the slope and intercept of the linear relationship. However, having more data points can help to better visualize the trend and assess the linearity of the relationship.
What else can I help you with?
What is the difference between a linear graph and a non linear graph?
Linear graphs make straight lines. Non-linear graphs make thins like parabolas, hyperbolas, and ellipses
How can a graph make it appear the data are closer than they are actually are?
A graph can create the illusion that data points are closer together by manipulating the scale on the axes, such as using a non-linear scale or truncating the axis ranges. Additionally, employing a misleading visual representation, like a 3D effect or disproportionate aspect ratios, can distort perceptions of distance. Using inappropriate data aggregation methods or selecting specific data ranges can also contribute to this misleading effect. Such techniques can lead viewers to draw incorrect conclusions about the relationships between the data points.
What increment would be appropriate to make a graph of the data?
what incrament would ba a apppropriate to make a graph of the data
When does it make sense to connect the points on a cordinate graph?
It makes sense to connect the points on a coordinate graph when the data represents a continuous relationship, such as time versus distance or temperature changes over time. In these cases, connecting the points helps visualize trends and patterns. However, for discrete data, where each point represents separate, distinct values, connecting the points may misrepresent the relationship. Always consider the context of the data when deciding whether to connect the points.
What points make a vertical line on a graph?
any points along the line described by the equation x=anything will give you a vertical line on a graph
In a coordinate graph of two related variables when does it make sense to connect the points?
When the data on the graph is continuous,it does make sense to connect the points on the graph of 2 related variables.
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.
What is the difference between a linear graph and a non-linear graph?
linear: LINE example--- line non-linear: not a LINE example--- parabola The other possibility is a graph with a non-linear scale. First a linear scale will have each unit represent the same amount, regardless of where you are on the scale. A semilog scale, has a linear scale in the horizontal direction, and a logarithmic scale in the vertical direction. Exponential functions (such as ex & 10x), will graph as a straight line on this type of graph scale). A logarithmic or log-log scale, has logarithmic scales on both horizontal and vertical axis. Power functions (such as sqrt(x), x2 and x3), graph as a straight line on these scales. See Related Link
What is the difference between a linear graph and a non linear graph?
Linear graphs make straight lines. Non-linear graphs make thins like parabolas, hyperbolas, and ellipses
What data must you have to make a line graph?
You can draw a line graph if you have-- the slope of the line and one point on the lineOR-- two points on the line
Why is it don't you connect the dots when making a graph?
It is improper to connect the dots on a graph because experimental data never makes a straight line. the dots in a graph (points) are not guaranteed to be right. hopes this helps SR. :)
What are the potential drawbacks or limitations of using a graph with negative values in data visualization?
Using a graph with negative values in data visualization can make it harder to interpret the data accurately. Negative values may distort the scale of the graph and make it challenging to compare different data points effectively. Additionally, negative values can sometimes be misleading or confusing for viewers, leading to misinterpretation of the data.
Can you make predictions from a non linear graph?
no you cannot
Why is it a good idea to make a graph of the data in the data table?
Viewing the data is an easy way to see some of their characteristics such as trends, seasonality, outliers, relationship between variables (linear, quadratic, power etc).
What increment would be appropriate to make a graph of the data?
what incrament would ba a apppropriate to make a graph of the data
Why are linear equations infinite?
When you graph a linear equation, you make a line. A line continues infinitely.
What are the disadvantages of a scatter graph?
A scatter graph may use a positive correlation or negative correlation, to shows points of the graph in either a dipping or climbing line, and is fairly easy to read the data. A zero correlation is when the points are scattered across the graph and this can make seeing the data difficult. It's a bit like "dot to dot" in a children's puzzle book, but without the numbers at the side of the dots!
