Answer:
the equation of the least-squares line for the data is: 
Step-by-step explanation:
In a simple linear regression model, such as, 
, the coefficients bo and b1 are estimated through the method of least squares by the use of the equations:
For the data provided you have to:
, thus:
the equation of the least-squares line for the data is:
X + (1/x) = 4*(1/x)
(x^2 +1)/x = 4/x
x^2+1=4
x^2 = 3
x= 3^(1/2)
First one was divided by 2 second was divided by 4 so now you do 16/8 which gives you two then you do 2/16 which is 1/8 so the next two answers are 2 and 1/8
39. 8 -0.7 are multiplied together so the answer is
(-0.7)^8
= 0.05765 to nearest 100 thousandth. ( using a calculator).
40. 10^4 + 0^12 = 10,000 + 0
= 10,000
