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How do you find the linear model from a table?

Published in Linear Modeling 2 mins read

You can find a linear model from a table by using a calculator and following these steps:

Steps to Find a Linear Model

Here's how to determine the linear model from a table of data, as described in the provided reference:

  1. Identify x and y Values:
    • First, choose one set of values in your table to represent the x-coordinates and the other set to represent the y-coordinates. It is important that the data is represented in corresponding pairs.
  2. Enter Data into Calculator:
    • Put your calculator into double stat mode.
    • Enter each (x, y) pair as a data point into the calculator.
  3. Calculate Gradient (a) and Y-intercept (b):
    • Use your calculator’s functions to find the gradient, often denoted as 'a', and the y-intercept, denoted as 'b'.
  4. Form the Linear Equation:
    • The equation will be in the form y = ax + b. Use the calculated values of 'a' and 'b' to write the linear equation representing your data.

Example:

Let's imagine you have the following data in a table:

x y
1 3
2 5
3 7
4 9
  • Step 1: You have identified your (x, y) pairs.
  • Step 2: Enter the data points (1, 3), (2, 5), (3, 7), and (4, 9) into your calculator in double stat mode.
  • Step 3: Use your calculator to determine that a = 2 and b = 1.
  • Step 4: Your linear equation is y = 2x + 1.

Key Concepts

  • Linear Model: A representation of a relationship between two variables that can be graphed as a straight line.
  • Gradient (a): The slope of the line, indicating how much 'y' changes for each unit change in 'x'.
  • Y-intercept (b): The point where the line crosses the y-axis, representing the value of 'y' when 'x' is zero.

Practical Considerations

  • The reference explicitly mentions using a calculator to find the gradient (a) and y-intercept (b). The calculations are typically done by calculators rather than manually.
  • Make sure your calculator is in "double stat mode" so it can process paired data properly.

By following these steps and using a calculator, you can efficiently determine the linear model that best represents the data provided in your table.

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