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Presentation Format Download In your presentation, you need to answer the following questions. Q-1) Formulate the null and alternative hypotheses for mileage and top speed to check whether the new models are performing as per the desired design specifications. Q-2) In order to comment on whether or not the design specifications are being matched, perform relevant hypothesis tests and calculate the p-values for each model. What will you conclude? Assume that you are performing the tests at a 95% confidence level. Q-3) You have already learnt about the possible errors that might result from hypothesis tests. Which type of error is more expensive for Random Motors, and why? Assume that you need to refund the money to all your customers if your cars do not deliver the promised specifications. Q-4) Develop a regression equation for each model at a 95% confidence level. Using the regression equation, predict the sales of the two models. State the hypothesis assumption for the overall test and individual variables. O RA Al PS Ae Pr WhatsApp colour hunt download vid FONTS adobe portfolio vector telegram sound download FREELANCER Q-5) Based on the sales prediction, calculate the overall projected profit for the Rocinante36 and Marengo32 models, respectively? Q-6) Your company wishes to invest only in the model that can generate high overall profits, In which of the two models, Rocinante 36 and Marengo32, should your company invest? Q-7) You must have developed the regression equation for both the models, Rocinante 36 and Marengo32. Suppose you increase the price of Rocinante36 and Marengo32 by 1 lakh each. Which of the two models will have to see a higher impact on sales numbers? Provide proper logic for your answer. (Note: You can assume that all the other specifications, such as mileage and top speed, are the same for both models.) Q-8) After developing the regression equation for both the models (Rocinante36 and Marengo32), if you analyse the p-values for the coefficients in the regression results, you will notice that some of the regression variables (top speed, mileage and price) are insignificant. Drop the insignificant regression variables and rebuild the regression model using only significant variables. Compare the adjusted R-squared value for both the new and the old regression models. Do you notice any change in the adjusted R-squared value? If yes, explain the reason for the change. Random Motors Solution ORP AIPS Ae Pr 62 Presentation Format Download In your presentation, you need to answer the following questions. Q-1) Formulate the null and alternative hypotheses for mileage and top speed to check whether the new models are performing as per the desired design specifications. Q-2) In order to comment on whether or not the design specifications are being matched, perform relevant hypothesis tests and calculate the p-values for each model. What will you conclude? Assume that you are performing the tests at a 95% confidence level. Q-3) You have already learnt about the possible errors that might result from hypothesis tests. Which type of error is more expensive for Random Motors, and why? Assume that you need to refund the money to all your customers if your cars do not deliver the promised specifications. Q-4) Develop a regression equation for each model at a 95% confidence level. Using the regression equation, predict the sales of the two models. State the hypothesis assumption for the overall test and individual variables. O RA Al PS Ae Pr WhatsApp colour hunt download vid FONTS adobe portfolio vector telegram sound download FREELANCER Q-5) Based on the sales prediction, calculate the overall projected profit for the Rocinante36 and Marengo32 models, respectively? Q-6) Your company wishes to invest only in the model that can generate high overall profits, In which of the two models, Rocinante 36 and Marengo32, should your company invest? Q-7) You must have developed the regression equation for both the models, Rocinante 36 and Marengo32. Suppose you increase the price of Rocinante36 and Marengo32 by 1 lakh each. Which of the two models will have to see a higher impact on sales numbers? Provide proper logic for your answer. (Note: You can assume that all the other specifications, such as mileage and top speed, are the same for both models.) Q-8) After developing the regression equation for both the models (Rocinante36 and Marengo32), if you analyse the p-values for the coefficients in the regression results, you will notice that some of the regression variables (top speed, mileage and price) are insignificant. Drop the insignificant regression variables and rebuild the regression model using only significant variables. Compare the adjusted R-squared value for both the new and the old regression models. Do you notice any change in the adjusted R-squared value? If yes, explain the reason for the change. Random Motors Solution ORP AIPS Ae Pr 62

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