KEY FEATURES: Introduces students to developing research questions and shows their importance in driving research design. Rarely taught topics, such as how to enter and clean data, offer students information missed in both research methods and statistics courses. Shows how to write up survey results for academic, business and nonprofit reports to alleviate the confusion students feel about how to write up findings. Rigorous treatment of sampling focuses on many sampling issues from probability theory to weighting. Offers the process of actually conducting a survey with advice on administering surveys, incentives, and improving response rates.

What Is OLS Regression With a Continuous Independent Variable?

What Is OLS Regression With a Continuous Independent Variable?

Erin Ruel

OLS regression takes the form of an equation: Yi = a + b1X1i + error, where Yi is the dependent variable, Xi is the independent variable, “i” is for each person in the sample, “a” and “b1” are estimated regression coefficients, and the error is the difference between the original observed “Y” variable and the regression equation predicted “Y” value. It includes everyone associated with the dependent variable that was not directly included in the regression equation. In the above equation, we have included only one independent or predictor variable. The intercept is represented by “a” in the equation and is the value of Y when the X independent variable = 0. The regression ...

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