A prediction equation for starting salaries (in $1,000s) and SAT scores was performed using simple linear regression. In the regression printout shown above, what can be said about the level of significance for the overall model?
A large school district is reevaluating its teachers’ salaries. They have decided to use regression analysis to predict mean teachers’ salaries at each elementary school. The researcher uses years of experience to predict salary. The resulting regression equation was:
Y = 23,313.22 + 1,210.89X, where Y = salary, X = years of experience
Based on this equation, by how much could a teacher expect his or her salary to increase for every additional tear of service?
A large school district is reevaluating its teachers’ salaries. They have decided to use regression analysis to predict mean teachers’ salaries at each elementary school. The researcher uses years of experience to predict salary. The resulting regression equation was:
Y = 23,313.22 + 1,210.89X, where Y = salary, X = years of experience
Assume a teacher has ten years of experience.
What is the forecasted salary?