# What is the correct way to calculate annual increase rate with only averaged data for each several years?

I need to calculate the annual increase rate (both absolute and relative) of a set of data. However, I do not have the raw data for each year. I only have the data averaged for each of several years as listed in the table below.

# Duration Middle year Average amount (kg/year)
1 1980-1990 1985 a1
2 1991-1995 1993 a2
3 1996-2000 1998 a3
4 2001-2005 2003 a4
5 2006-2010 2008 a5
6 2011-2015 2013 a6

I can think of two methods to calculate the annual increase rate but have several questions.

Method 1:

The annual increase rate r was calculated as

$$r = (a_6-a_1)/n$$ where n is the number of years.

Q1: How to determine the number of years n? Shall I calculated (1) using the beginning of each period $$n = 2015-1980 + 1 = 36 \: years$$ or (2) using the middle year of each period as

$$n = 2013- 1985+1 = 29 \: years$$ For me, it seems that (2) is more reasonable since each number should not represent the beginning of the period but the middle.

Q2: The relative increase rate RR should be calculated (1) as $$RR = r/n$$ or by (2) solving the equation $$a_1(1+RR)^n = a_6$$ The number n also represents the number of years. (1) Assumes the first data as the reference while (2) assumes the previous data as referrence. I am not sure which method is the common accepted one.

Method 2

A linear regression is done between the data (a1 to a6) and the year and the resultant equation y = kx + b. The number k will be the annual increase rate. And the relative increase rate (RR) can be calculated as $$RR = k/n$$ where n is the number of years (same as that in Method 1).

Q3: For the regression analysis, shall I use the begging of each period of the middle of each period?

Q4: Comparing Method 1 and Method 2, which is more reasonable? Since I have to show the plot with the regression equation, I would prefer Method 2 to make the number in the text and in the plot consistent in Method 2 is acceptable.