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Scatter Plot Assessment Tool Date Name of Person Observed: Observer: Behavior(s):.

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How to fill out the Scatter Plot Assessment Tool - Special Connections online

The Scatter Plot Assessment Tool - Special Connections is designed to help users document and analyze behaviors over specific time intervals. This guide provides clear, step-by-step instructions for filling out the form online, ensuring accurate and comprehensive data collection.

Follow the steps to successfully complete the assessment tool.

  1. Click ‘Get Form’ button to obtain the form and open it in the editor.
  2. Begin by filling in the 'Name of Person Observed' field with the individual's name, ensuring correct spelling.
  3. Enter the 'Date' of observation in the designated space, noting the format for clarity.
  4. In the 'Observer' section, provide your name or the name of the person documenting the behaviors.
  5. Identify and summarize the behaviors observed. Write a brief description of the behaviors in the 'Behavior(s)' field. Be as specific as possible.
  6. For each time interval listed, observe and document the frequency of behaviors during that period by placing a checkmark or filling in the appropriate square based on the code provided.
  7. Complete the 'Date' rows for each observation, ensuring you accurately reflect the days observations were made.
  8. After completing the form, review each section for accuracy before proceeding.
  9. Once satisfied with the entries, you can save your changes, download the form, print it, or share it as needed.

Start completing your Scatter Plot Assessment Tool - Special Connections online today!

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Scatter plots' primary uses are to observe and show relationships between two numeric variables.

Describing scatterplots (form, direction, strength, outliers)

Zero or no correlation: A correlation of zero means there is no relationship between the two variables. In other words, as one variable moves one way, the other moved in another unrelated direction.

No association means that there is no line and all the dots are scattered. Nonlinear association means that the dots are close to each other but are not in a line.

If the data points make a straight line going from near the origin out to high y-values, the variables are said to have a positive correlation. If the data points start at high y-values on the y-axis and progress down to low values, the variables have a negative correlation.

A scatterplot with no correlation has data that does not follow a pattern, neither positive nor negative. The scatterplot shows haphazard points that follow no direction. For example, there are three points, (35,50), (50,35), and (70,50).

The closer the data points come to forming a straight line when plotted, the higher the correlation between the two variables, or the stronger the relationship. If the data points make a straight line going from near the origin out to high y-values, the variables are said to have a positive correlation.

In a scatterplot, the data points are plotted but not joined. The resulting pattern indicates the type and strength of the relationship between two or more variables. Chart 5.6. 1 is an example of a scatterplot.

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