Answer:
Y = 7.60X + 1246.67
Step-by-step explanation:
Given the data:
Production Volume (units) Total Cost ($)
400 4000
450 5000
550 5400
600 5900
700 6400
750 7000
Using technology, the linear regression calculator, the regression model obtained by fitting the data is :
Y = 7.60X + 1246.67 ; which is the model giving the relationship between Production volume, x and total cost, y.
Slope = 7.60
Intercept = 1246.67
Answer:
B 6.00
Step-by-step explanation:
M= 6$
C= 9$
M+C= 6+9= 15$ per hour
<em>26</em>
- Step-by-step explanation:
<em>- 4x + 3y + z =</em>
<em>= -4(-5) + 3(2) + 0</em>
<em>= 20 + 6 + 0</em>
<em>= 26</em>
<em />
Answer:
65.532cm of rainfall over 12 months
Step-by-step explanation
Answer:
use symolab
Step-by-step explanation:
