To find the values of m and b, we can use the given information that N(1950) = A and N(2000) = B.
First, let's find the slope, m:
m = (B - A) / (2000 - 1950)
m = (6079006982 - 2555360972) / (2000 - 1950)
m = 3523646010 / 50
m = 70472920.2
Next, let's find the y-intercept, b:
We know that N(1950) = A, so we can substitute these values into the equation:
A = m * 1950 + b
2555360972 = (70472920.2 * 1950) + b
2555360972 = 137378277790 + b
b = 2555360972 - 137378277790
b = -134822917818
So, m = 70472920.2 and b = -134822917818.
Now, let's find the estimated population in 1975 using linear interpolation:
N(1975) = m * 1975 + b
N(1975) = (70472920.2 * 1975) + (-134822917818)
N(1975) = 139199115975 - 134822917818
N(1975) = 4371194157
Therefore, the estimated population in 1975 is 4371194157.
The next three problems explore some techniques of data analysis. According to the US Bureau of the Census, the world population in the year 1950 was A=2555360972 , and in 2000 it was B=6079006982. We'll use A and B so we don't have to keep writing those large and idiosyncratic numbers. We usually use y and x in the equation of a line, but in this and the following problem let's use N and t instead. t stands for time and N for the size of the population.
If N(t)=mt+b ...such that N(1950)=A and N(2000)=B, then m=_________ and b=__________. Suppose you want to estimate the population in 1975. To that end you compute N(1975) = _________. (Round your answers to the nearest integer. The process illustrated in this problem is called linear interpolation.)
1 answer