Hi all,

I have one more question regarding my regression analysis in the housing market.

I have generated a table with the mean values of several housing characteristics per quarter in which the houses were bought (=variable 'q') using:

Code:
tabstat lot unitsf floors rooms bedrms baths garage porch poolacc fplwk airsys cellar1 cellar2 cellar3, by (q) long
This code gave me the output which I have included in the attachment.

I noted that the average values of some housing characteristics were higher in the "hot" seasons (q2 and q3) compared to the "cold" seasons (q1 and q2), i.e. lot size (variable 'LOT').

What is the best way to check whether the values in the hot seasons are statistically different from the values in the cold seasons?
My mentor mentioned a t-test as a possible method...

For some exemplary data, refer to:

Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input byte q long lot int unitsf byte(floors rooms bedrms baths garage porch poolacc fplwk airsys cellar1 cellar2 cellar3)
1 174113  2800 2  9 4 2 1 1 1 1 1 0 1 0
4  66000  1600 1  6 3 2 1 1 1 1 1 0 0 1
3  60720  1750 3  7 5 2 2 1 1 1 1 0 1 0
4  33000  3200 3  9 5 3 1 1 1 1 1 0 1 0
2  11000  2700 3  6 3 2 1 1 1 1 1 0 1 0
3  44000  3000 2  8 5 3 1 1 1 1 1 0 1 0
2   2500  3500 2 10 6 4 1 1 1 1 1 0 1 0
3  16720  1684 3  7 3 3 1 1 1 1 1 0 1 0
3  11000  2800 2  7 4 3 1 1 1 1 1 1 0 0
4  52800 16286 3 14 5 6 1 1 1 1 1 1 0 0
end


Thanks in advance.