![]() Well, that’s the tutorial article this time. Before compiling a calculation template with excel, I suggest you compare it with statistical software output using the same data. You only need to change the data to be analyzed (without changing the row and column positions with the formula), then the results will automatically appear. You can create calculation templates using excel. Sequentially the articles part 1 to part 4 are: How to calculate simple linear regression analysis using excel I have written in 5 parts. If the calculation result is the same as the SPSS output, it means that there is no calculation error.Īfter I checked the calculation results above and then compared it with the SPSS output, I concluded that the estimate of variance, standard error, and T-value were correct. SPSS output for a table containing standard error values and T-values can be seen in the image below:īased on the SPSS output, we compare the results of our calculations. I have done a simple linear regression analysis using SPSS. You can perform data processing using statistical software to correct the calculation results. The result of calculating the T-value for the intercept (bo) is 83.194, and the T-value for b1 is -6.604. In detail, the formula for calculating T-value refers to the book written by Koutsoyiannis (1977), which can be seen below: How to Find T-ValueĬalculating the T-value takes the estimated values of b0, b1, and the standard error bo and b1. Based on the calculation results, the standard error value of bo is 2,625, and the standard error value of b1 is 2,961. The formula for calculating the standard error value refers to the book written by Koutsoyiannis (1977), which can be seen below:īased on the calculation formula above, the standard error is the square root of the variance. The standard error value can be calculated if the variance has been obtained. The calculation results of the bo variance value obtained a value of 6.8907, and the value of the b1 variance obtained a value of 8.7699. The formula for calculating the variance value refers to the book written by Koutsoyiannis (1977), which can be seen below:īased on the above formula, the estimate of the variance of u is used to calculate the value of the bo variance and the b1 variance. The variance value in simple linear regression was calculated for bo and b1. After calculating using this formula, the estimate of the variance of u = 6.604 is obtained. Based on the calculation results, the value of the residual squared sum is 52.835.įurthermore, the number of observations (n) = ten and the number of variables (K) = 2. The formula for calculating the estimate of the variance of u refers to the book written by Koutsoyiannis (1977), which can be seen below:īased on the estimate of the variance of u calculation formula, you must have calculated the sum of residual squared values. To calculate the value of the variance, you must first calculate the value of the estimate of the variance of u. If you haven’t read it, please read the article first until it’s finished. In this article, I will also use the same research data. ![]() ![]() You can first see my article entitled: “ How To Calculate The Analysis Of Variance (ANOVA) Table In Simple Linear Regression. Therefore, I wrote this article to complete the tutorial on how to calculate simple linear regression analysis. The value of estimate of the variance of u cannot be calculated if it has not calculated the value of the sum of residual squared. The variance value can be calculated if the estimate of the variance of u has been calculated. Calculating the value of variance, standard error, and t-value is the last stage in simple linear regression analysis.
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