First some terminology is explained. Then the interpretations of the coefficients and constants of the function are discussed. Afterwards the zero conditional mean assumption regarding the residual is problematized. Lastly, a graphical representation of a regression line is given and the least sum of squared errors is introduced and the equation for the coefficient of the linear function as well as for the intercept is given.

This edited volume put together by Jimi Adesina based on the proceedings of the Social Policy in African Conference in 2017 provides an overview of social policy in varied country contexts and fields especially in light of decades of the reduction in size and hollowing out of the content of …

Approaching the law of nature that determines all forms of economy. The bulk of economic theory addresses the economic process by setting out on a catalogue of aspects, seeking the laws in the aspects and hoping to get together a reliable view of the whole.

What’s inflation? Why is it relevant? And is there an agreed theory about its roots and causes, or is it a contentious concept? That’s what this text is all about: We define what inflation actually means before we delve into the theoretical debate with an interdisciplinary and pluralist approach: What gives rise to it, what factors might influence it, and, consequently, what might be done about it?

As the current economic crisis spreads around the globe questions are being asked about what king of capitalist or post-capitalist economy will follow. There is increasing talk of the need for stringent economic regulation, the need to temper greed and individualism, to make the economy work for human and social development.

First some properties about the Sum of squared residuals and the linear regression function are restated. In particular three properties that an ideal fitted regression line must fulfill are discussed. Then, the R squared is defined using the measures of the Sum of squared residuals, the total sum of squares and the sum of explained squares.