Answer:
y = 115.0977+12.2992X
91.59%
Step-by-step explanation:
Given :
DLH(X) ILE(Y)
20 361_0
25 400
22 376
23 384
20 361_0
19 360
24 427.2
28 458.4
26 450_8
29 475.2
DLH (X) : Direct Labor Hours
ILE (Y) : Indirect Labor Expense
The regression model obtained by fitting the data using technology is :
y = 115.0977+12.2992X
Where ;
Intercept = 115.0977 ;
Slope = 12.2992
The Coefficient of determination, R² gives the proportion of explained variance due to the regression line.
For the data given above, the Coefficient of determination R² obtained using the Coefficient of determination calculator is 0.9159 ; which means that (0.9159 * 100%) about 91.59% of the variation in indirect labor expense is explained by the regression line while 8.41% is due to other factors.
Answer:
1 - Figure 2
2 - Figure 1
3 - Figure 3
Step-by-step explanation:
Answer: 13x+3y-3+y^2
Step-by-step explanation:
(7x+6x)+3y+(-2-1)+y^2
13x+3y-3+y^2
3,000
whenever a number is 500 or over, you round it to the next thousand
hope this helps! :)
Answer:
1.43 pounds per jar
Step-by-step explanation:
you can't equally divide 15.73 between 11 jars so it will be a fraction, however 15.73 divided by 11 = 1.43
