People in the aerospace industry believe the cost of a space project is a function of the weight of the major object being sent into space. You will use the following data to develop a regression model to predict the cost of a space project by the weight of the space object. Object Weight (tons) 1. 1.897, 2. 3.019, 3. 0.453 , 4. 0.988, 5. 1.058, 6. 2.100, 7. 2.387 total 11.902

Project Cost ($millions) 1. 53.6, 2. 184.9 ,3. 6.4, 4. 23.5, 5. 33.4, 6. 110.4, 7. 104.6, Totals: 516.8

a. Complete all of the blank entries in the partial Excel output below.

Regression Statistics

Multiple R

R Square

Standard Error

Observations.

ANOVA SS DF MS F

REGRESSION

RESIDUAL 446.4700921   

TOTAL 23744.45429

COEFFCIENTS STANDARD ERROR T STAT

INTERCEPTS -39.00709075 18.1114242

WEIGHTS(TONS) 9.560469477 6.941370994

b.Calculate the least squares regression equation for predicting the cost of a space project as a function of the weight of the major object being sent into space.

c. Interpret the practical meaning of the slope of the least squares regression line (i.e., in the context of the problem, in plain English).

d. Identify the independent and dependent variables in this regression analysis.

e. Using a significance level of ? = .05, is there sufficient evidence to conclude that the weight of the major object being sent into space is useful in predicting the cost of a space project? Do a complete and appropriate hypothesis test.

f. What proportion of the total variability in the cost of a space project can be explained by knowing the weight of the major object being sent into space?

g. Calculate the coefficient of correlation between the independent and dependent variables. Comment on what the magnitude and direction of this correlation coefficient says about the linear relationship between the independent and dependent variable.

h. Construct an appropriate interval estimate of the mean cost of all space projects when the weight of the major object being sent into space is 1.5 tons, with 95% confidence. Interpret the practical meaning of this interval estimate, in plain English.

i. Construct an appropriate interval estimate of the cost of a single space project when the weight of the object being sent into space is 1.5 tons, with 95% confidence. Interpret the practical meaning of this interval estimate, in plain English.

j. Construct a 95% confidence interval estimate of the true population slope for this least squares regression line. Interpret the practical meaning of your interval estimate, in plain English.

k. Calculate and report the estimated variance of the random errors, ?, for this regression analysis.

l. Calculate and report the estimated standard deviation of the random errors, ?, for this regression analysis. m. Calculate and report the residual for the 2nd observation in the data set

Which of the following is FALSE?
Select one:
a. The cost of preferred stock is the ratio of the preferred stock dividend to a firm's net proceeds from the sale of the preferred stock.
b. The cost of new common stock is normally greater than any other long-term financing cost.
c. The cost of preferred stock is the ratio of the preferred stock dividend to a firm's total earnings.
d. The cost of preferred stock is typically higher than the cost of long-term debt (bonds) because the cost of long-term debt (interest) is tax deductible.

Which of the following is FALSE?
Select one:
a. A sunk cost is a cash flow that could be realized from the best alternative use of an owned asset.
b. Incremental cash flows represent the additional cash flows expected as a direct result of the proposed project.
c. Sunk costs are cash outlays that have already been made and therefore have no effect on the cash flows relevant to the current decision.
d. The three major cash flow components include the initial investment, operating cash flows, and terminal ca

Please Solve As soon as
Thank's
Abdul-Rahim Taysir

a.

a. For May 2020, the cost of Direct Materials transferred into the Filling Dept. of a liquid soap company is $20,200. Direct Labor cost incurred for the same department is unknown, and Factory Overhead cost applied to production is 80% of Direct Labor cost. The total cost of finished goods transferred out of the Filling Dept. is $85,600. The cost of beginning work in process (WIP) inventory in the Filling Dept. on May 1 was $12,000 and the ending balance in WIP Inventory-Filling on May 31 is $6,000. Calculate the cost of Direct Labor incurred by the Filling Dept. during May 2020.

b. The following data is taken from the production budget for the year: Beginning finished goods units 11,000; Units to be produced in the first quarter 82,000; First quarter sales units 58,000; Sales units budgeted for the second quarter 68,000. Second quarter finished goods inventory is budgeted at 12,000 units. Calculate units to produce in the second quarter.

If the marginal product of labor is

fallingfalling​,

is the marginal cost of production rising or​ falling? Briefly explain.

If the additional output from each new worker is

fallingfalling​,

How do I compute overhead cost for direct labor?

1. The amount of income spent on housing is an important component of the cost of living. The total costs of housing for homeowners might include mortgage payments, property taxes, and utility costs (water, heat, electricity). An economist selected a sample of 20 homeowners in New England and then calculated these total housing costs as a percent of monthly income, five years ago and now. The information is reported below. At the .05 significance level, is it reasonable to conclude the percent is less now than five years ago?

Really important: Use Excel as described in “How to perform two-sample hypothesis tests” in the content area to do this problem. You can copy the table below into an Excel file—no need to type it. Use the same Excel file that you used for the previous problem, but put each problem on a separate worksheet (you move to another worksheet by clicking the tabs at the bottom). Please name each worksheet by right-clicking on the tab, selecting Rename, and typing the problem number. This is chapter 11, problem 4, so call it “11-4.”

a. State the null and alternate hypotheses.

b. Select alpha.

c. Select the test statistic.

d. Formulate the decision rule.

e. What is the value of the test statistic?

f. Determine and interpret the effect size and p-value.

g. Draw conclusions based on statistical and practical significance.

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

a. Compute b₁ and b₀ (to 1 decimal).
b₁ [     ]
b₀ [     ]
Compute the estimated regression equation (to 1 decimal).
ŷ = [ ] + [ ]x

b. What is the variable cost per unit produced (to 1 decimal)?
$[     ]

c. Compute the coefficient of determination (to 3 decimals). Note: report r² between 0 and 1.
r² = [     ]
What percentage of the variation in total cost can be explained by the production volume (to 1 decimal)?
[     ]%

d. The company's production schedule shows 500 units must be produced next month. What is the estimated total cost for this operation (to the nearest whole number)?
$[     ]

3. “The company’s auditors will work hard to attest to the value of the cost of goods sold but because it is a summary number, it is not useful for internal decision-making.” Do you agree with that statement? Why or why not?

A community college claims that the standard deviation in the cost of TI calculators is at least $15. A simple random sample of 43 stores that sell TI calculators yielded a sample mean of $84 and a sample standard deviation of $12 for the cost of TI calculators. Does this data refute the claim made by the community college? Perform a statistical test at the 5% significance level. You may assume that the cost of TI calculators is normally distributed.

(a) Identify the parameter of interest and the hypotheses.

(b) Identify the test or distribution you will use. Give a brief explanation of your answer.

(c) Calculate the p-value.

(d) Make a decision regarding the null hypothesis.

(e) Interpret your answer to (d) by writing a meaningful conclusion.