I am a social science phd student trying to figure out a statistical test for small conference presentation I am working on. However, I realized I don't know how to run the model I want. Some background on my question:
DV: Change in a person's weight (continuous variable)
IV: Which fruit someone ate for breakfast (categorical variable with four categories: Guava, raspberries, Pears, and strawberries)
Statistical Method: Simple OLS Regression
According to my theory, eating guavas should have the greatest effect on someone's weight compared to the other fruit, then raspberries, then pears, and with strawberries having the least effect on someone's weight.
To test my theory, my original plan was to run a simple OLS regression with 3 binary variables (one for each fruit, with strawberries being the baseline). However, I just realized that that sort of model would only tell me if each fruit had a greater effect than strawberries, but it would not tell me that the effect of guava was greater than raspberries, or if raspberries had a greater effect than pears, etc...
Is there a simple method in an OLS regression (in STATA) that would allow me to test if guava's had the greatest effect, raspberries had a second greatest effect, pears had the third greatest effect, and strawberries had the least effect?
FYI: No my paper is not really about fruit and weight loss. Those variables were made up for the purposes of this question.