A straight line which best describes the data on a scatter plot is called a "line of best fit". The line could pass through some of the points, all of them, or none of them.
The terminology "scatter diagram" is used in Microsoft Excel and it causes some confusion. The difference is in the x-axis. If my x data is 1900, 1901 2000 and my y data is 100, 300, 3000, then a line plot (in Excel) would show on the x-axis three regularly spaced marks corresponding to 1900, 1901 and 2000. However, on a scatter diagram, intervals are always numerically equal, so 1900 and 1901 are very close together. Scatter diagram, as Microsoft defines them, can show line only, lines and points or just points. It is the preferred plot for data in technical/ scientific work. Where the data is sparse and/or alternative interpretation possible, I would suggest showing both points and lines. Line graphs (again, as Microsoft defines it) can distort relationships. See related link below for some good examples.
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A scatter plot is a plot of paired (x,y) data with a horizontal x axis and a vertical y-axis. (definition as given in Elementary Statistics by Triola). Textbooks may have different definitions. If one variable is considered an independent variable, then generally it is the x value. This is particularly important if there is a relationship between the two variables, in that knowing the x value helps predict the y value. A best fit line can be drawn through the points. A line graph in general connects points on a graph. The x-axis may not be a numerical value or it may not be equal spaced increments. For example, suppose I did surveys in years 2001, 2002 and 2009, counting how many accidents there were in a particular intersection. A line graph would show three years, 2001, 2002 and 2009, as equal spaced intervals on the x-axis. The above definition is consistent with plots made in Excel. I note that some textbooks may consider a line graph as any plot that contains lines connecting the data. See related links. You can find many good examples of graphical displays of data on the internet.
In statistics this is usually termed a stem-leaf plot. To see some I suggest going to image.google.com and querying for stem leaf plot.
Some scatter plot ideas are:Age of a certain car vs. selling pricemeasure of hand vs. measure of footwomens height vs. their weightweekly TV vs.weekly exerciseyears since 1956 vs. winning time
There is no specific good number since the reliability of a prediction depends on the spread of the scatter plot. If the plot is tightly packed along some line (straight or curved) then a small number of observations will suffice. If, on the other hand, the plot consists of points all over the place then even 100 points is not sufficient for making reliable predictions.
A straight line which best describes the data on a scatter plot is called a "line of best fit". The line could pass through some of the points, all of them, or none of them.
Scatter-plot shows correlation between two different variables (one on the y-axis, the other on x-axis). If there is linear correlation, the scatter-points form a straight line from zero (origo) to some direction. The more cloud-like distribution the scatter-plot does have, the less those variables in question have correlation or dependence with each other.
Use a scatter plot graph to represent the correlation between two different variables. Here are some steps to make a basic scatter plot graph.Get your data into an Excel spreadsheet (type, copy, link, etc.).Highlight the data you want to display on the graph.Select the Insert tab from the ribbon bar.From the Charts section, click on Scatter and select the Scatter with only Markers option.Move, format, and adjust the chart to meet your needs.
bar graph circle graph scatter plot box and whisker stem and leaf plot ven diagram. Line graph
A scatter plot. Most other graphs will summarise some of the data.
A scatter plot, a line chart, a bar chart are some possible answers.
Simply that there were some observations that were very much smaller or very much larger than most of the rest.
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No, it is not possible to make accurate predictions based on a scatter plot with no correlation. A scatter plot with no correlation means that the data points are randomly scattered and do not follow any specific pattern or trend. Without a correlation, it is difficult to establish a relationship between the variables and make reliable predictions.
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