From the last line of your question I conclude that the variable of t is to represent the number of years since 1995
So you basically have two ordered pairs,
(0,70.89) and (7,73.4)
the slope would be (73.4-70.89)/7 = .35857
so R(t) = .35857t + b , to match y = mx + b
but (0,70.89) is the "y-intercept" , so ...
R(t) = .35857t + 70.89
then 2005 would be t= 10
R10) = .35857(10) + 70.89
= .....
(To ask for the answer to the nearest 10th is rather silly, since there is only one decimal accuracy given in the data value of 73.4)
In 1995 the life expectancy of a male in a certain country was 70.98 years. In 2002 it was 73.4 years. Let E represent the life expectancy in year t and let t represent the number of years since 1995.
The liner function R(t) that fits the data E(t)= _t+_
round to the nearet 10th
Use the function to predict life expectancy in 2005
R(10)
round to the nearst 10th
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