Use the numerical data from one of the data sets available through the Data Sets link on your student website.
• Develop one research question and formulate a hypothesis which may be tested with linear, bivariate regression analysis.
• Prepare a 500- to 750-word paper describing the results of the linear regression analysis on your collected data.
• Include the following in your paper:
o Perform a regression on the data and discuss the use of the resulting equation.
o State the fitted regression model and interpret the slope, intercept, and R2.
o Make a prediction using the regression equation at a point where you have data. Calcuate and interpret a residual.
o Construct and interpret confidence intervals for the slope and intercept.
o Formulate a zero-slope hypothesis statement regarding your data set.
o Interpret the results of your regression hypothesis test and discuss the use of the regression equation.
• Include your raw data tables and the results of your computations in your paper, using a scatterplot and some type of residuals plot.
• Format your paper consistent with APA guidelines.