这是一份manchester曼切斯特大学ECON60432T作业代写的成功案例

Consider the following simple regression model:
$$
Y_{i}=a+b X_{i}+\varepsilon_{i},
$$
where the subscript $i$ refers to the $i$ th observation. The random error term $\varepsilon_{i}$ (epsilon) captures all the variation in the dependent variable $Y_{i}$ that is not explained by the $X_{i}$ (independent) variables.

ECON60432T COURSE NOTES ：

These coefficients give a quantitative account of the relationship between a dependent variable and one or more independent variables in a regression equation. In the regression equation
$$
Y_{i}=a+b X_{i}+\varepsilon_{i},
$$
$b$ is a regression coefficient. See Multiple (Linear) Regression.