Generally speaking I want to find out if the regression models I built are significantly different from each other. I have monthly energy consumption data (the independent variable) from a couple of houses and Heating Degree Days (HDD
) covering a period of about 3 years. The data has been divided into groups with Heating Season and House. For each house I have 3 (three heating seasons) regression models, and I would like to test if they are significantly different from each other. Maybe to make it less complicated I would like to compare model of heating season HS 1
with HS 2
, and HS 2
with HS 3
.
On different forums I have read that I can use ANCOVA to compare models but not being advanced in statistics, I do not really know how to do it in practice. But I made myself familiar with R
to a degree so I am trying to solve my problem with this software.
I would appreciate your suggestions how to sort out this issue using R
.
Here is an extract of data for one house.
HDD Energy HeatingSeason House
17.5 18 HS 1 1
84.4 206.5 HS 1 1
218.2 677.7 HS 1 1
374.4 824.4 HS 1 1
263.47 602.4 HS 1 1
174.27 514.4 HS 1 1
188.75 436.1 HS 1 1
58.59 44.3 HS 1 1
45.23 0 HS 2 1
26.14 0 HS 2 1
6.03 0 HS 2 1
6.95 0 HS 2 1
13.77 0 HS 2 1
51.82 45.1 HS 2 1
100.57 320.6 HS 2 1
208.78 634.5 HS 2 1
216.02 692.8 HS 2 1
275.34 643.2 HS 2 1
157.03 197.1 HS 2 1
165.42 246.7 HS 2 1
73.06 69.3 HS 3 1
46.21 3.9 HS 3 1
1.11 0 HS 3 1
17.15 0 HS 3 1
60.98 28.7 HS 3 1
164.28 197.1 HS 3 1
225.94 456.8 HS 3 1
315.3 687.8 HS 3 1
407.82 800.5 HS 3 1
342.88 771.2 HS 3 1
346.14 645.1 HS 3 1
191.03 223.7 HS 3 1