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  5. Module 4 - Regression Analysis
  6. Ugandan Farmers

BA/EC 311- Quantitative Analysis ONLINE - Fall 2020

Ugandan Farmers

Completion requirements
Opened: Thursday, 6 March 2014, 12:00 AM
Due: Monday, 9 November 2020, 12:00 PM

BA/EC 311 – QUANTITATIVE ANALYSIS

BIRMINGHAM-SOUTHERN COLLEGE

REGRESSION ANALYSIS PRACTICE UGANDAN FARMERS

Retrieve the SPSS data set “Regression Practice Ugandan Farmers Data” from Moodle (provided below) and open it in SPSS. This is an exploratory study so you should relax the requirement of p<.05 for statistical significance and accept for significance p<.10. The variables in the data set are:

WTC – Willingness to Cooperate. This variable measures the willingness of these farmers to join a strategic alliance in an effort to maximize the performance of their farming operation.

INTANGIBLE – This variable measures whether these farmers hope to meet someone within the alliance who can provide them with intangible resources, such as knowledge and know-how.

TANGIBLE – This variable measures whether these farmers hope to meet someone within the alliance who can provide them with tangible resources, such as tools and equipment.

SOC – This variable measures whether these farmers hope to meet someone within the alliance who can provide them with emotional support during difficult times.

Collectively, the INTANGIBLE, TANGIBLE and SOC variables measure the social benefits of cooperation.

ECON – This variable measures the expected economic benefits of cooperation.

DEM4 – The age of the farmer.

DEM6 – The farmer’s household size.

Conduct a regression analysis that tests the following hypotheses. You should put all of these variables into one regression model:

H1: The desire for emotional support will have a positive effect on willingness to cooperate.

H2: The desire to share tangible and intangible resources will each have a positive effect on willingness to cooperate.

H3: The desire to realize the economic benefits of cooperation will have a positive effect on willingness to cooperate.

H4: Farmers from smaller households will be more willing to cooperate than farmers from larger households.

H5: Older farmers will be more willing to cooperate than younger farmers.

H6: The effect of the social benefits of cooperation on willingness to cooperate will be about three times the size of the economic benefits.

Discuss your findings. Which of your hypotheses were supported? What is the predicted willingness to cooperate for a farmer of average age from an average household size assuming that all of the other variables are also average (you’ll need to calculate the descriptive statistics)? How confident are you in this prediction? In other words, how much error is in your regression equation?

Save your work as an word doc and post on Moodle.


◄ Group Cohesion BSC
Regression Practice Ugandan Farmers Data ►

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