A table of house pricing data is linked below. Use software to do further analyses with the multiple regression model of y=selling price of home in​ thousands, x1=size of​ home, and x2=number of bedrooms. Then use this model to complete parts a through c below.

Data:

y_Price_($)   x1_Size_(sq_ft)   x2_Bedrooms
309900   3179   5
161700   1738   3
162100   1901   2
132100   996   1
210900   1676   2
170100   1662   2
189700   1396   2
286100   3627   4
304700   3961   5
252700   3395   5
120200   795   1
286600   3475   4
167800   1416   2
118200   1041   1
260900   2763   4

b. Report and interpret the t statistic and​ P-value for testing H_0​: β₂ = 0 against H_a​: β₂ > 0.

t = 1.093

c. Report the p-value corresponding to this t statistic.

P-value = ____ (round to four decimal places as needed)

The accounting department of a large limousine company is analyzing the costs of its services. The cost data and level of activity for the past 16 months follow:

Page 199

In addition to the information on the previous page, you learn that the accounting department had the following total costs for the past 16 months for each of the following:

Required

What is the cost per unit for (1) paychecks processed, (2) customer accounts maintained, and (3) special analyses performed?

Assuming the following level of cost-driver volumes for a month, what are the accounting department’s estimated costs of doing business using the account analysis approach?

1,000 paychecks processed

200 customer accounts maintained

3 special analyses

Question 1 (1 point)

Which of the following property describe a good software?

Question 1 options:

Question 2 (1 point)

Software crisis is caused by the programming language selected.

Question 2 options:

Question 3 (1 point)

Software deteriorates over time because software is susceptible to the environmental maladies such as temperature.

Question 3 options:

Question 4 (1 point)

Incremental process model has a higher risk of project failure than waterfall model.

Question 4 options:

Use the following pairs of observations to construct an​ 80% and a​ 98% confidence interval for

beta 1β1.

The​ 80% confidence interval is

left parenthesis nothing comma nothing right parenthesis,.

​(Round to two decimal places as​ needed.)

(1) Describe the difference between empirical and theoretical probability.
(2) Find the theoritical probability of tossing three coins and getting 2 heads, 1 tail.
(3) Toss three coins at once 50 times and record the out come of getting 2 heads, 1 tail.
(4)) Based on your observations, give the empirical probability of each result.

What is the business risk for "Samsung" company in these day. Answer in scope of

Question: Expected losses

1.Direct losses

2.In Direct losses

Cost of loss financing

1.Retention and self-Insurance

2.Insurance

3. Hedging

4.Other risk transfer

Cost of residual uncertainty

1.Effect on shareholders

2.Effect on other stakeholders

Compute the most probable number (MPN) for coliform density, expressed as MPN per 100 mL for the three samples below, based on the following test results using the tables and the Thomas equation. At each dilution a total of 5 tubes were tested [30 marks]

The marketing manager of a firm that produces laundry products decides to test market a new laundry product in each of the firm's two sales regions. He wants to determine whether there will be a difference in mean sales per market per month between the two regions. A random sample of 13 supermarkets from Region 1 had mean sales of 72.7 with a standard deviation of 9. A random sample of 17 supermarkets from Region 2 had a mean sales of 84.9 with a standard deviation of 7.6. Does the test marketing reveal a difference in potential mean sales per market in Region 2? Let μ1 be the mean sales per market in Region 1 and μ2 be the mean sales per market in Region 2. Use a significance level of α=0.01 for the test. Assume that the population variances are not equal and that the two populations are normally distributed.

Step 1 of 4 : State the null and alternative hypotheses for the test. Step 2 of 4 : compute the value of the t test statistic. Round to 3 decimal places. step 3 of 4 : determine the decision rule for rejected the null hypothesis. round to 3 decimal places step 4 of 4 : state the tests conclusion

1. Your Econ 201 professor has a daily budget of $40, and he spends it entirely on coffee and comic books. The table shows the marginal utility he receives from consuming different quantities of coffee and comic books. Each comic book is priced at $8, and each cup of coffee is priced at $4. To maximize his total utility, how many cups of coffee should he buy, and how many comic books should he buy? How many utils of total utility will he enjoy?

Ted Olson, director of the company Overnight Delivery, is worried because of the number of letters of first class that his company has lost. These letters are transported in airplanes and trucks, due to that, mister Olson has classified the lost letters during the last two years according to the transport in which the letters were lost. The data is as follows:

Mister Olson will investigate only one department, either aerial o ground department, but not both. He will open the investigation in the department which has the most number of lost letters per month, find:

26.- The expectation quadratic value of lost letters per month for truck.

27.- The expectation quadratic value of lost letters per month for airplane.

28.- The variance value of lost letters per month for truck.

29.- The variance value of lost letters per month for airplane.