ABSTRACT
This chapter questions why some relationships may be nonlinear rather than linear and focuses how to use a squared term in a regression model. It shows that how to surmise the shape of the curve. The chapter explores the use of logarithms to transform a variable and examines how researchers examined the effectiveness of members of the US Congress. It suggests how a researcher examined how religious congregation size affects attendance. According to the regression equation, education doesn't significantly affect income until the move from 13 to 14 years. Then, in fits and starts, it rises quickly. According to the linear model, the effect of political views goes in the expected direction: the more conservative one is, the less one supports meeting rights. Although most of the time this "independent variable, square of the independent variable" situation is what will see in the research world, another common transformation involves the use of logarithms.
