Solution-Build a regression model to predict february

Build a regression model to predict february charges

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Question - Seasonal spending revisited II. As we saw in Exercise 38 of Chapter 25, financial analysts know that January credit card charges will generally be much lower than those of the month before. What about the difference between January and the next month? Does the trend continue? The data set on the DVD contains the monthly credit card charges of a random sample of 99 cardholders.

a) Build a regression model to predict February charges from January s charges.

b) How much, on average, will cardholders who charged $2000 in January charge in February?

c) Give a 95% confidence interval for the average February charges of cardholders who charged $2000 in January.

d) From c), give a 95% confidence interval for the average decrease in the charges of cardholders who charged $2000 in January.

e) What reservations, if any, do you have about the confidence intervals you made in c) and d)?

Reference no: EM131745999

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Build a regression model to predict february charges

Reference no: EM131745999

Reference no: EM131745999

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