Answer:
Y = 7.60X + 1246.67
Step-by-step explanation:
Given the data:
Production Volume (units) Total Cost ($)
400 4000
450 5000
550 5400
600 5900
700 6400
750 7000
Using technology, the linear regression calculator, the regression model obtained by fitting the data is :
Y = 7.60X + 1246.67 ; which is the model giving the relationship between Production volume, x and total cost, y.
Slope = 7.60
Intercept = 1246.67
So it work like this
180-72= 108
x+4=108
x=108-4
x=104
Answer:
x = (180-147)/3
x = 11
Step-by-step explanation:
Answer:
c=6
Step-by-step explanation:
c+25-19=100
isolate variable...
c+25-19+19=100+19
c+25=119
c+25-25=119-25
c=6