What is the process for finding the linear regression equation from a given table of data? 2

What is the process for finding the linear regression equation from a given table of data?

The process for finding the linear regression equation from a given table of data involves several steps. First, the data must be organized into two columns representing the independent variable (x) and the dependent variable (y). Then, a scatter plot must be created to visualize the relationship between the two variables. Next, a line of best fit must be drawn on the scatter plot, which represents the general trend of the data. This line is determined by calculating the slope and y-intercept using specific formulas. Finally, the linear regression equation can be written in the form of y = mx + b, where m is the slope and b is the y-intercept. This equation can then be used to make predictions and analyze the relationship between the two variables.

Find Linear Regression Equation from a Table


Often you may want to find a linear regression equation from a table of data.

For example, suppose you are given the following table of data:

The following step-by-step example explains how to find a linear regression equation from this table of data.

Step 1: Calculate X*Y, X2, and Y2

First, we’ll calculate the following metrics for each row:

  • x*y
  • x2
  • y2

The following screenshot shows how to do so:

Step 2: Calculate ΣX, ΣY, ΣX*Y, ΣX2, and ΣY2

Next, we’ll calculate the sum of each column:

Step 3: Calculate b0

The formula to calculate the intercept of the regression equation, b0, is as follows:

  • b0 = ((Σy)(Σx2) – (Σx)(Σxy))  /  (n(Σx2) – (Σx)2)
  • b0 = ((128)(831) – (85)(1258))  /  (10(831) – (85)2)
  • b0 = -0.518

Note: In the formula, n represents the total number of observations. In this example, there were 10 total observations.

Step 4: Calculate b1

  • b1 =  (n(Σxy) – (Σx)(Σy))  /  (n(Σx2) – (Σx)2)
  • b1 = (10(1258) – (85)(128))  /  (10(831) – (85)2)
  • b1 = 1.5668

Step 5: Write Linear Regression Equation

The final linear regression equation can be written as:

  • ŷ = b0 + b1x

Thus, our linear regression equation would be written as:

  • ŷ = -0.518 + 1.5668x

We can double check that this answer is correct by plugging in the values from the table into the :

We can see that the linear regression equation from the calculator matches the one that we calculated by hand.

The following tutorials provide additional information about linear regression:

Cite this article

stats writer (2024). What is the process for finding the linear regression equation from a given table of data?. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/stats/what-is-the-process-for-finding-the-linear-regression-equation-from-a-given-table-of-data/

stats writer. "What is the process for finding the linear regression equation from a given table of data?." PSYCHOLOGICAL SCALES, 25 Jun. 2024, https://scales.arabpsychology.com/stats/what-is-the-process-for-finding-the-linear-regression-equation-from-a-given-table-of-data/.

stats writer. "What is the process for finding the linear regression equation from a given table of data?." PSYCHOLOGICAL SCALES, 2024. https://scales.arabpsychology.com/stats/what-is-the-process-for-finding-the-linear-regression-equation-from-a-given-table-of-data/.

stats writer (2024) 'What is the process for finding the linear regression equation from a given table of data?', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/stats/what-is-the-process-for-finding-the-linear-regression-equation-from-a-given-table-of-data/.

[1] stats writer, "What is the process for finding the linear regression equation from a given table of data?," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, June, 2024.

stats writer. What is the process for finding the linear regression equation from a given table of data?. PSYCHOLOGICAL SCALES. 2024;vol(issue):pages.

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