Tag: simple linear regression
Create Residual and Y Predicted in Excel
Residual and predicted Y have an important role in linear regression analysis using the Ordinary Least Square (OLS) method. Several OLS linear regression method assumptions were conducted to test the residuals, including normally distributed residuals and constant residual variance.
How to Find Variance, Standard Error, and T-Value in Simple Linear Regression
Calculating the value of variance, standard error, and t-value is the last stage in simple linear regression analysis. The variance value can be calculated if the estimate of the variance of u has been calculated. 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.
How to Determine Y Predicted, Residual, and Sum of Squares in Simple Linear Regression
In simple linear regression analysis, the calculation of the predicted Y value, residual value, and sum of squares need to be well understood by researchers. If previously you would usually look at the output of statistical software, on this occasion, I will give a tutorial on how to calculate it manually using Excel.
How to Calculate Y Predicted and Residual Values in Simple Linear Regression
The residual value in linear regression analysis needs to be calculated first before calculating the variance. In addition, the linear regression of the ordinary least square method must pass the assumption test that the residuals must be normally distributed. However, before calculating the residual value, you must first calculate the predicted Y value. Therefore, we will discuss how to calculate the predicted Y value and residual value on this occasion.
How to Calculate a Simple Linear Regression using Excel
In statistics, simple linear regression analysis consists of only two variables. The two variables are one dependent variable and one independent variable. On this occasion, we will discuss how to calculate a simple linear regression using Excel.