Linear Regression
Introduction
Whitner Autoplex located in Raytown, Missouri, is one of the AutoUSA dealerships. Whitner Autoplex includes Pontiac, GMC, and Buick franchises as well as a BMW store. Using data found on the AutoUSA website, Team D will use Linear Regression Analysis to determine whether the purchase price of a vehicle purchased from Whitner Autoplex increases as the age of the consumer purchasing the vehicle increases. The data set provided information about the purchasing price of 80 domestic and imported automobiles at Whitner Autoplex as well as the age of the consumers purchasing the vehicles. Team D selected the first 30 of the sampled domestic vehicles to use for this test. The business research question …show more content…
Conclusion
Throughout the last four weeks in Research and Evaluation II, Team D has run various hypothesis tests on the Whitner Autoplex data set provided by University of Phoenix. The data set provided information about the purchasing price of 88 domestic and imported cars as well as age of the consumers. In week two, Team D conducted a onesample hypothesis test comparing the national average purchasing price with that of the Whitner Autoplex prices and answering the research question: Does the average price of automobiles sold at Whitner Autoplex dealership exceed the national average sale price of similar automobiles? Once the test was complete, Team D accepted the null hypothesis of: Ho: u < $23,000. In week 3, Team D conducted a twosample hypothesis test in which we answered the research

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Linear Regression
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Regression Analysis
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The Regression Analysis
976 Words  4 Pages3. The slope of the linear regression line is 0.0647. This is shown in the equation of the line, on the right hand side of the chart. The Yintercept of the linear regression line is 127.64. The equation is Y=0.0647X127.64. The regression analysis, including residuals is in the Excel file attached. Part II This project was aimed at creating some reasonable forecasts of the trend of gas prices in the United States in the next period of time, based on an analysis of a series of annual gas…

Introduction to Linear Regression and Correlation Analysis
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