C - Grocer Sales Profitable - Premiums and Profitability - Finance Assignment Help

Assignment Task :

QUESTION : Are c-grocer sales profitable? 
Companies that sell groceries over the Internet are called c-grocers. Customers enter their orders. pay by credit card, and receive delivery by truck. A potential e-grocer analysed the market and determined that to be profitable the average order would have to exceed $85. To determine whether an e-grocery would be profitable in one large city, the service was offered to a random sample of customers and the size of the orders recorded in tile ORDERS.xlsx. Can we infer from these data that an c-groccry will be profitable in this city? 

QUESTION : Do higher interest rates reduce the availability of new housing?
A homebuildcre association lobbying for various home subsidy programs argued that, during periods of high interest rates, the number of building permits issued decreased drastically, which in turn reduced the availability of new housing. The raw data are recorded in file 11()USE.xlsx were presented as part of their argument. Analyse the data. 
 

QUESTION : Life insurance companies are keenly interested in predicting how long their customers will live, because their premiums and profitability depend on such numbers. An actuary for one insurance company gathered data from 100 recently deceased male customers. He recorded the age at death of the customer plus the ages at death of his mother and father, the mean ages at death of his grandmothers and the mean ages at death of his grandfathers. These data are recorded in columns 1 to 5 respectively* in file LONGEVITY.xlsx. oPerform a multiple regression analysis on these data. h Interpret the coefficient estimates and their signs. e Test for the significance era the independent variable coefficients. (a = 0.05) d Is the model likely to be useful in predicting men's longevity? pAre the required conditions satisfied? Justify your answer. rPredict the longevity of a man whose parents lived to the age of 70, whose grandmothers averaged 80 years and whose grandfathers averaged 75. 
Suppose that in addition to these data, the actuary also recorded whether the man was a smoker (I = yes, and 0 = no). These data are recorded in column 6 of the same file. 
g. Perform a multiple regression analysis on these data.

h. Compare the estimation results produced in part g with those in part a. Describe the differences.

i. Does smoking affect length of life (a = 0.05)? Explain. 
 

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