Business, 23.07.2019 00:20 ayoismeisalex

In 2011 home prices and mortgage rates dropped so low that in a number of cities the monthly cost of owning a home was less expensive than renting. the following data show the average asking rent for 10 markets and the monthly mortgage on the median priced home (including taxes and insurance) for 10 cities where the average monthly mortgage payment was less than the average asking rent (the wall street journal, november 26–27, 2011).
city rent ($) mortgage ($)
atlanta 840 539
chicago 1062 1002
detroit 823 626
jacksonville, fla. 779 711
las vegas 796 655
miami 1071 977
minneapolis 953 776
orlando, fla. 851 695
phoenix 762 651
st. louis 723 654
a. develop a scatter chart for these data, treating the average asking rent as the independent variable. does a simple linear regression model appear to be appropriate?
b. use a simple linear regression model to develop an estimated regression equation to predict the monthly mortgage on the median priced home given the average asking rent. construct a plot of the residuals against the independent variable rent. based on this residual plot, does a simple linear regression model appear to be appropriate?
c. using a quadratic regression model, develop an estimated regression equation to predict the monthly mortgage on the median-priced home, given the average asking rent.
d. do you prefer the estimated regression equation developed in part a or part c? create a plot of the linear and quadratic regression lines overlaid on the scatter chart of the monthly mortgage on the median-priced home and the average asking rent to you assess the two regression equations. explain your conclusions

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