To calculate Cedric's total straight pay for the past two weeks, we need to multiply the number of hours he worked by his hourly wage.
Cedric worked 33.25 hours and earns $13.25 per hour.
To find his total straight pay, we multiply the number of hours worked by the hourly wage:
33.25 hours * $13.25/hour = $439.06
Therefore, Cedric's total straight pay for the past two weeks is $439.06.
Answer:
The residual value is -0.75
Step-by-step explanation:
we know that
The residual value is the observed value minus the predicted value.
RESIDUAL VALUE=[OBSERVED VALUE-PREDICTED VALUE]
where
Predicted value.--> the predicted value given the current regression equation
Observed value. --> The observed value for the dependent variable.
in this problem
we have the point (1,4)
so
The observed value is 4
Find the predicted value for x=1
predicted value is 4.75
so
RESIDUAL VALUE=(4-4.75)=-0.75
Answer:
-0.75
Step-by-step explanation:
(x + 7)2 + (y – 3)2 = 3
(x + 7)2 + (y – 3)2 = 81
(x – 7)2 + (y + 3)2 = 81
12:30 a.m.
1:10 p.m.
12:30 p.m.
Answer:
1:10 pm
Step-by-step explanation
B:470, 120, 310
C:50°, 20° 20°
D:250, 250, 100%
Answer: B
Step-by-step explanation:
d. (d 2 - 5 + 3d)
6d2 - 30d
d3 - 3d2 - 23d + 30
d2 + 2d - 30
-d3 + 3d2 + 23d - 30
Answer:
your answer is number 4
Step-by-step explanation:
just did the lesson
b) Is it the same as simple random sampling?
c) Is there selection bias in this method of drawing a sample?
Answer:
The answer to this question can be defined as follows:
Step-by-step explanation:
Following are the description of the given points:
(a) This is a system of probability, which possibility occurs inside an intended manner whenever they choose this specific point of origin from 1 to 100 with no one reserve the possibility about who gets throughout the survey.
(b) Its method is different from the random sampling technique with the base available. For example, two individuals whose names identical to both the list have no chance to join within the survey.
(c) its sample is objective to its everyone can enter the test in equal measure.