Simple Linear Regression Analysis | Basic Statistics 2080.1

Basic Statistics2080.110 marksNumerical: simple linear regressionAssumptions of linear regression

Simple Linear Regression Analysis

Linearity: The mean of the response $Y$ is a linear function of $X$ . 2. Independence: The error terms (observations) are independent. 3. Homoscedasticity: Constant variance of errors across all values of $X$ . 4. Normality: The error terms are normally distributed with mean zero. 5. Fixed X: Th...

Linearity: The mean of the response $Y$ is a linear function of $X$. 2. Independence: The error terms (observations) are independent. 3. Homoscedasticity: Constant variance of errors across all values of $X$. 4. Normality: The error terms are normally distributed with mean zero. 5. Fixed X: Th...