Answer:
A) can be used to conduct a test about a hypothesized population regression function slope.
Step-by-step explanation:
A least squares regression line is a standard technique in regression analysis used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.
In Mathematics, residuals are used to measure or determine whether or not the line of regression is a good fit or match for the data by subtracting the difference between them i.e the predicted y value and the actual y value, for the x value respectively.
The confidence interval for the sample regression function slope can be used to conduct a test about a hypothesized population regression function slope.
Answer: $2000
Step-by-step explanation:
Variable cost = Change in cost ÷ Activity change
($2000 - $2000) ÷ (10000 - 8000) = $0
Fixed cost element = Final cost - Variable cost
$2000 - ($0.00 ×10000) = $2000
Therefore, the cost formula for total maintenance is $2000 plus $0 per hour
y = $2,000 + $0x
At a level of 8,700 machine-hours, the total cost is:
y = $2000 + ($0.00 ×8700) = $2000
Answer:
The two values of production level are:
x = 20
or
x = 140
Step-by-step explanation:
Let's write the Profit equation by subtracting the cost function from the revenue one:
Now, we set to find the production level "x" to give us a profit of $ 700:
So we solve this quadratic equation using the quadratic formula:
which gives two posible solutions: x = 20, or x = 140
Answer:
2x+21
Step-by-step explanation:
Area=Base*height
(x+7)*(x+3)
x*x=2x
7*3=21
2x+21
Since the circle is centered at the origin, we can use the equations
x² + y² = r²
x = r cos θ
y = r sin θ
We know y = 8 and r = 10. Solving for x
x² + 8² = 10²
x = 6
From this equation:
x = r cos θ
6 = 10 cos θ
cos θ = 6/10 = 0.6