Regression Analysis By John Wiley & Sons

Running head: STATISTICS
Statistics
Name of the Student:
Name of the University:
Author note:

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STATISTICS
Table of Contents
Answer to the question 1............................................................................................................2
Answer to the question 2............................................................................................................2
Bibliography...............................................................................................................................4

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Regression Output
Answer to the question 1
Null hypothesis (H0): There is no association among rate of inflation and ordinates index.
Alternative hypothesis (H1): There is an association among rate of inflation and ordinates
index.
Test statistic = 0.028
P- Value = 0.867
Alpha = 0.05

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It is clear that P- Value of this test is larger than the alpha. Thus the null hypothesis is
accepted and at the same time the alternative hypothesis is rejected. Therefore it may be
summarised that there is no association among rate of inflation and ordinates index.
Answer to the question 2
The standard error of the estimate = 1268.430
Regression model is as below
Ordinates index = 3874.29 + 40.31* rate of inflation
It is a good fitted simple linear regression model.

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Bibliography
Cameron, A.C. and Trivedi, P.K., 2013. Regression analysis of count data (Vol. 53).
Cambridge university press.
Chatterjee, S. and Hadi, A.S., 2015. Regression analysis by example. John Wiley & Sons.