Scatter Plot Calculator

The Scatter Plot Calculator allows users to enter X and Y coordinates to generate statistical calculations such as the mean, correlation coefficient, linear regression slope, intercept, and R-squared value, while also selecting the size of the plot points.

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Guide to Using the Scatter Plot Calculator

This guide will take you through each step required to effectively use the Scatter Plot Calculator to input data, select preferences, and interpret the results.

Step 1: Input Your Data

  • X Values: Enter each X coordinate using the provided field. Ensure that each value is a number between -1000 and 1000. The values can have up to two decimal places for precision.
  • Y Values: Similarly, input each Y coordinate corresponding to the X values entered. They should also fall within the range of -1000 to 1000, with up to two decimal places.

Step 2: Select Point Size

Choose the size for the points that will be plotted on the scatter plot. This can be done by selecting one of the following options:

  • Small: Point size of 2
  • Medium: Point size of 4
  • Large: Point size of 6

Step 3: Calculate Results

Once you have entered all required data and selected the point size, the calculator will provide you with the following results:

  • Mean of X Values: The calculator computes the average of all X values entered. This value is displayed with two decimal precision.
  • Mean of Y Values: The average of the Y values is similarly calculated and shown with two decimal precision.
  • Correlation Coefficient: This metric indicates the linear relationship between the X and Y values. It is provided with four decimal precision.
  • Linear Regression Slope: The slope of the linear regression line, derived from the covariance of X and Y divided by the variance of X values. Displayed with four decimal precision.
  • Linear Regression Y-Intercept: Calculated as Mean Y minus the product of the slope and Mean X, this value determines where the line intersects the Y-axis. Also shown with four decimal precision.
  • R-Squared Value: This percentage, displayed with two decimal precision, reflects the proportion of variance in Y values explained by X values, providing a measure of fit for the regression line.

Following these steps will help you make full use of the Scatter Plot Calculator for data analysis.