answer all questions or dont answer

1. Perform a regression analysis for predicated reliability and price to develop an estimated regression equation that could be used to predict the reliability and price. 2. Plot the data on a scatterplot with the trend line. (Show your regression calculations.) 3. Discuss your R-squared findings and what it indicates. 4. For each variable "predicted reliability" and "price" find the average and standard deviation. So you will need to copy each data set in a separate excel sheet and compute the average and standard deviation. 5. In each of the Excel sheets above compute the Z scores beside each data of the variable on each sheet 6. For each sheet graph the Z scores vs the data and explain what kind of graph you have. Note regression analysis assumes both variables "predicted reliability" and "price" are normally distributed. One way to show that a variable is normally distributed is to graph it Z score vs the date and if you have a straight line with a positive it is assumed normal distributed. Final Assembly 1. Title page 2. Abstract: A one-paragraph summary of what the project was about, what you learned, and what you ended up finding, It should summarize the entire report. 3. Introduction: A discussion of what questions you are interested in. 4. Data Set: Describe how the data was used and the results of your calculations. Be sure to embed the graphs and charts into your Word document or audio/visual presentation. 5. Analysis: Discuss what the data told you. Was anything surprising? What other questions do you have about the results and the data? From the results, which car do you believe would be the best fit for your needs. 6. Can you assume that each variable is normally distributed? Why? What evidence can you show? 7. Limitations of study and conclusion: Describe any limitations of this study and how those limitations may have hindered this study. What would you like to see in future studies of this tyre? Should