In developing a simple linear regression model it is assumed that the distribution of error terms will be normally distributed for all levels of x.

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In simple linear regression, it is assumed that the error terms (residuals) are normally distributed for any given value of the independent variable x. This assumption allows for the use of statistical methods that rely on normal distribution properties.

In Developing a Simple Linear Regression Model It Is Assumed