1 . A little glance at the Autorama Consider the 80. your five expected car buyer inside the $45, 000–$55, 000 profits group from your Autorama circumstance. Using the same assumptions we made for the situation, determine the expected range of sales in each value bracket out of this group. Hint: Use the normal distribution to determine the probability that someone through this group would buy an auto in each price clump. You may would like to do the calculations in a spreadsheet. installment payments on your Shore Real estate Shore Real estate sells real estate property in Ok. The company wish to be able to anticipate the value of new homes based on the home's size. It has gathered data on size (" sqfoot” in square feet) and selling price (" price” in dollars), which are stored in the ﬁle shore. xls. Use the info in that ﬁle to answer the following questions: • Use Kstat or Surpass to construct a scatterplot for people data with size on the horizontal axis. • Employ Kstat to dtermine the estimated regression equation. • Predict the selling price for the home with 2, 600 square feet. 3. Accesss bschools2002. xls which will contains data regarding the top 30 business schools based upon the 2002 Business Week ratings. A large number of business schools surveys including this one record mean foundation salaries and median basic salaries. Both of these statistics usually be identical. KStat may help us ﬁnd a romance between the two for this dataset. (a) Use KStat to set up a scatterplot with suggest base salary on the vertical axis and median foundation salary within the horizontal axis. (b) Will the relationship look linear? (c) Use KStat to perform a regression of mean base salary versus median basic salary. Create the estimated regression range. (d) Work with your regression equation to estimate themean base slary for a institution with a median base income of $77, 000. (e) Use the regression equation to calculate the suggest base income for a institution with a typical base income of $88, 000.
4. Accesss bschools2002. xls which is made up of data about the top 40 business universities...