Answer:
9.07 and 7.77 respectively.
Step-by-step explanation:
To determine the upper control limit, add 0.65 lb to 8.42 lb, obtaining 9.07 lb.
To determine the lower one, subtract 0.65 lb from 8.42 lb, obtaining 7.77 lb.
Answer:
5 5/11 hours
Step-by-step explanation:
So, there is a trick to doing this.
You would first need to get their work rate into the same measurements.
That's why we will find out how much they each work in one hour.
Tommy does 1/12 of the work in one hour while Robert does 1/10.
Here we can add them both up to make 11/60.
They finish 11/60 of the work in one hour.
They finish the job in 5 5/11 hours.
Answer:
Fraction: 5/6
Step-by-step explanation:
(1/2) / (3/5) = 1/2 X 5/3 = 0.83333333333
So, in order to solve this problem, I will set up an equation. First, let's make x= the # of hours it takes Mr. Itol to complete a computer task, and since his assistant takes twice as long, lets make 2x=the # of hours it takes the assistant to complete the task. We also know that it takes the two of them 6 hours to complete the task together. We can now set up the following equation:
Now, in order to be able to solve this, we have to find the least common denominator, and then we can cancel out the denominators to solve for the top part. The LCD=6x and the new equation becomes:
Now, we can get rid of the denominators, and we get:
So, x= 9
Now we know that Mr. Itol would take 9 hours to complete the task if he were to do it himself. To find how long it would take his assistant to complete the same task by himself, we just need to plug in the x-value into 2x:
Therefore, your answer is that Mr. Itol would take 9 hours to do the job alone, while his assistant will take 18 hours (double the time) to do the job alone.
Hope this helps :)
We assume data and prediction as question is incomplete
Answer and Step-by-step explanation:
Least squares regression line equations are used to model the relationship that exists between two variables, dependent and independent variables. The equation has the form y=a+bx where y is the dependent variable and x is independent variable, a is a constant and is the y intercept and b is the slope of the line. This relationship is then used to predict future outcomes.
Given that data for 2004-2005 for the basketball players are :
James- 20 points
John- 30 points
Chris- 50 points
Dave-15 points
Donaldson- 32 points
Richard -40 points
We predict the scores/points for James (for example) for the following year using the equation of the regression line y=0.79x+1544
We substitute his points x=20 I'm the equation:
Y=0.79*20+1544
=1599.8
The predicted value is 1599.8