logo

Multiple Regression Model Analysis for Business Decisions

This is an applied assignment that requires students to demonstrate their understanding of the principles and techniques taught in the course. The assignment must be submitted in WORD format and all problems must be completed in the prescribed format taught in class. The assignment is worth 30% of the final grade.

5 Pages727 Words480 Views
   

Added on  2023-05-29

About This Document

This article discusses the analysis of a multiple regression model for business decisions. It covers the standard error of the estimate, coefficient of determination, adjusted coefficient of determination, hypothesis test, interpretation of the coefficient and relevant hypotheses. The article also provides references for further reading.

Multiple Regression Model Analysis for Business Decisions

This is an applied assignment that requires students to demonstrate their understanding of the principles and techniques taught in the course. The assignment must be submitted in WORD format and all problems must be completed in the prescribed format taught in class. The assignment is worth 30% of the final grade.

   Added on 2023-05-29

ShareRelated Documents
STATISTICS FOR BUSINESS DECISIONS
STUDENT ID:
[Pick the date]
Multiple Regression Model Analysis for Business Decisions_1
Question 2
The multiple regression model is highlighted below.
(a) The standard error of the estimate = 8.0683. This would highlight the deviation of the
actual values from the predicted values of dependent variable using the regression
equation determined above (Flick, 2015).
(b) Coefficient of determination (R square) = 0.2672. This highlights that 26.72% of the
variation in the dependent variable can be jointly explained by the corresponding
variation in the independent variable (Medhi, 2016).
(c) Adjusted coefficient of determination (adjusted R square) = 0.2635. On the basis of the
adjusted R2 and R2 values, it would be fair to conclude that the given regression model is
a poor fit considering that a vast amount of variation in the dependent variable remains
unexplained and also one of the independent variable slope coefficient is also not
significant (Hillier, 2016).
(d) Hypothesis test
1
Multiple Regression Model Analysis for Business Decisions_2

End of preview

Want to access all the pages? Upload your documents or become a member.

Related Documents
Hypothesis Testing Examples for Medical Research
|3
|668
|180

Statistics HI6007 Group Assignment
|11
|662
|430

Positive Linear Relationship Assignment
|5
|1042
|35

Regression Analysis and Hypothesis Testing in Statistics
|8
|1309
|459

Statistics HI6007 Group - Assignment
|9
|876
|84

HI 6007 Statistics for Business Decisions Assignment
|11
|482
|354