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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.
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LINEAR PROGRAMMING MODELS
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