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Nadusha1986 [10]
3 years ago
10

An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cos

t and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. Consider the following sample of production volumes and total cost data for a manufacturing operation.
Production Volume (units) Total Cost ($)
400 4000
450 5000
550 5400
600 5900
700 6400
750 7000
Compute b1 and b0 (to 2 decimals if necessary). b1 b0 Complete the estimated regression equation (to 2 decimals if necessary).
Mathematics
1 answer:
Amanda [17]3 years ago
6 0

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

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11:13

Step-by-step explanation:

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Answer:

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GROUP B, IQR =.450

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The values in the middle 50%.of Group A are more spread out Than those of Group B.

Step-by-step explanation:

Data for.each group :

The IQR = Q3 - Q1

From the boxplot :

Group A:

Q1 = 1100 ; Q3 = 1800

IQR = 1800 - 1100 = 700

Group B:

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4 years ago
) Explain why the sample midrange might be preferred to the sample mean as an estimator of the population mean.
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Answer:

It is a good Estimator of the Population Mean because the distribution of the sample midrange is just same as the distribution of the random variable.

Step-by-step explanation: from the table,

Minimum value = 34

maximum values = 1084

The sample mid-range can be computed as:

(Min.value + max.value)/2

(34 + 1084)/2

Sample mid-range = 55

The sample midrange uses only a small portion of the data, but can be heavily affected by outliers.

It provides information about the skewness and heavy-tailedness of the distribution which is just same as the distribution of the random variable.

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5 0
3 years ago
The difference between two same-side interior angles of two parallel lines is 35 degrees. Find the measures of these two angles.
Leona [35]

Answer:

angle 1:    72.5°

angle 2:   107.5°

Step-by-step explanation:

x + y = 180

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Substitution to find angle x:

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3 years ago
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