Questions
Lecondo Company is engaged in the manufacture and sale of fitness apparel. Several years ago it...

Lecondo Company is engaged in the manufacture and sale of fitness apparel. Several years ago it bought a health food business that has incurred losses since its acquisition. In 2018, the company sold the health food business. The results of operations and other activities for 2018 are summarized below.

                   Fitness Apparel        Health foods

Net sales               $17,400,000           $2,600,000

Cost of goods sold              8,100,000              1,700,000

Other operating expenses          4,700,000             1,200,000

Other:

The health food business was sold in September 2018 at a disposal loss of $500,000.

Treasury stock that had been acquired in 2017 for $130,000 was sold in 2018 for $195,000. The difference between cost and reissue price is not taxable.

During 2018, Lecondo sold 10,000 shares of its previously unissued $10 par value common stock to the public at a price of $27 per share.

Interest revenue of $2,000 was earned during 2018.

Cash dividends declared and paid during 2018 amounted to $700,000.

The fitness apparel division sold land at a $98,000 gain during 2018.

All of the foregoing amounts are before considering the effects of income taxes. The income tax rate is 40%.

Required: Calculate the following amounts that would appear on Lecondo’s income statement. Be alert for items that should not be included in the computation of net income.

Gross profit

Operating income

Income from continuing operations before taxes

Income from continuing operations

Net income

Check figures:

b. Operating income, $4,600,000

c. Income from continuing operations (before taxes), $4,700,000

d. Income from continuing operations (after taxes), $2,820,000

e. Net income, $2,340,000

In: Accounting

Consider the data. xi 2 6 9 13 20 yi 8 17 11 28 23 (a)What...

Consider the data.

xi

2 6 9 13 20

yi

8 17 11 28 23

(a)What is the value of the standard error of the estimate? (Round your answer to three decimal places.)

(b)Test for a significant relationship by using the t test. Use α = 0.05. State the null and alternative hypotheses.

(b.1)Find the value of the test statistic. (Round your answer to three decimal places.)

(b.2)Find the p-value. (Round your answer to four decimal places.)

(c)State your conclusion out of the option below.

Do not reject H0. We cannot conclude that the relationship between x and y is significant.

Reject H0.We cannot conclude that the relationship between x and y is significant.   

Do not reject H0. We conclude that the relationship between x and y is significant.

Reject H0. We conclude that the relationship between x and y is significant.

(d)Use the F test to test for a significant relationship. Use α = 0.05. State the null and alternative hypotheses.

(d.1)Find the value of the test statistic. (Round your answer to two decimal places.)

(d.2)Find the p-value. (Round your answer to three decimal places.)

(e) What is your conclusion out of the options below?

Reject H0. We conclude that the relationship between x and y is significant.

Do not reject H0. We cannot conclude that the relationship between x and y is significant.     

Do not reject H0. We conclude that the relationship between x and y is significant.

Reject H0. We cannot conclude that the relationship between x and y is significant.

In: Statistics and Probability

Female Health Data Looking at the correlation matrix identify one good and one bad regression pair...

Female Health Data Looking at the correlation matrix identify one good and one bad regression pair and conduct detailed regression analysis with all explanations similar to example from Ch 18 repeated below
Data>Data Analysis ToolBox>Correlation Data>Data Analysis ToolBox> Regression
AGE HT WT WAIST PULSE SYS DIAS CHOL BMI LEG ELBOW WRIST ARM
17 64.3 114.8 67.2 76 104 61 264 19.6 41.6 6 4.6 23.6
32 66.4 149.3 82.5 72 99 64 181 23.8 42.8 6.7 5.5 26.3
25 62.3 107.8 66.7 88 102 65 267 19.6 39 5.7 4.6 26.3
55 62.3 160.1 93 60 114 76 384 29.1 40.2 6.2 5 32.6
27 59.6 127.1 82.6 72 94 58 98 25.2 36.2 5.5 4.8 29.2
29 63.6 123.1 75.4 68 101 66 62 21.4 43.2 6 4.9 26.4
25 59.8 111.7 73.6 80 108 61 126 22 38.7 5.7 5.1 27.9
12 63.3 156.3 81.4 64 104 41 89 27.5 41 6.8 5.5 33
41 67.9 218.8 99.4 68 123 72 531 33.5 43.8 7.8 5.8 38.6
32 61.4 110.2 67.7 68 93 61 130 20.6 37.3 6.3 5 26.5
31 66.7 188.3 100.7 80 89 56 175 29.9 42.3 6.6 5.2 34.4
19 64.8 105.4 72.9 76 112 62 44 17.7 39.1 5.7 4.8 23.7
19 63.1 136.1 85 68 107 48 8 24 40.3 6.6 5.1 28.4
23 66.7 182.4 85.7 72 116 62 112 28.9 48.6 7.2 5.6 34
40 66.8 238.4 126 96 181 102 462 37.7 33.2 7 5.4 35.2
23 64.7 108.8 74.5 72 98 61 62 18.3 43.4 6.2 5.2 24.7
27 65.1 119 74.5 68 100 53 98 19.8 41.5 6.3 5.3 27
45 61.9 161.9 94 72 127 74 447 29.8 40 6.8 5 35
41 64.3 174.1 92.8 64 107 67 125 29.7 38.2 6.8 4.7 33.1
56 63.4 181.2 105.5 80 116 71 318 31.7 38.2 6.9 5.4 39.6
22 60.7 124.3 75.5 64 97 64 325 23.8 38.2 5.9 5 27
57 63.4 255.9 126.5 80 155 85 600 44.9 41 8 5.6 43.8
24 62.6 106.7 70 76 106 59 237 19.2 38.1 6.1 5 23.6
37 60.6 149.9 98 76 110 70 173 28.7 38 7 5.1 34.3
59 63.5 163.1 104.7 76 105 69 309 28.5 36 6.7 5.1 34.4
40 58.6 94.3 67.8 80 118 82 94 19.3 32.1 5.4 4.2 23.3
45 60.2 159.7 99.3 104 133 83 280 31 31.1 6.4 5.2 35.6
52 67.6 162.8 91.1 88 113 75 254 25.1 39.4 7.1 5.3 31.8
31 63.4 130 74.5 60 113 66 123 22.8 40.2 5.9 5.1 27
32 64.1 179.9 95.5 76 107 67 596 30.9 39.2 6.2 5 32.8
23 62.7 147.8 79.5 72 95 59 301 26.5 39 6.3 4.9 31
23 61.3 112.9 69.1 72 108 72 223 21.2 36.6 5.9 4.7 27
47 58.2 195.6 105.5 88 114 79 293 40.6 27 7.5 5.5 41.2
36 63.2 124.2 78.8 80 104 73 146 21.9 38.5 5.6 4.7 25.5
34 60.5 135 85.7 60 125 73 149 26 39.9 6.4 5.2 30.9
37 65 141.4 92.8 72 124 85 149 23.5 37.5 6.1 4.8 27.9
18 61.8 123.9 72.7 88 92 46 920 22.8 39.7 5.8 5 26.5
29 68 135.5 75.9 88 119 81 271 20.7 39 6.3 4.9 27.8
48 67 130.4 68.6 124 93 64 207 20.5 41.6 6 5.3 23
16 57 100.7 68.7 64 106 64 2 21.9 33.8 5.6 4.6 26.4

In: Statistics and Probability

.1. a.) By inspection, find a particular solution of 2?′′ − 5? = 13 b.) By...

.1. a.) By inspection, find a particular solution of 2?′′ − 5? = 13
b.) By inspection, find a particular solution of
2?′′−5?= −27?
c.) Find a particular solution of
2?′′−5?= −27?+13
d.) Find a particular solution of
19,378.47?′′+35? = 6−56?

In: Advanced Math

Consider the following tables: a. CPR Assuming month 100% PSA 70% PSA 320% PSA 1 4...

Consider the following tables:

a. CPR Assuming

month 100% PSA 70% PSA

320% PSA

1
4
27
40

b. SMM Assuming

Month 100% PSa 70% PSA 320% PSA
1
4
27
40

Complete the tables.

In: Finance

Assume that you manage a risky portfolio with an expected rate of return of 17% and...

Assume that you manage a risky portfolio with an expected rate of return of 17% and a standard deviation of 27%. The T-bill rate is 7%. Your client chooses to invest 70% of a portfolio in your fund and 30% in a T-bill money market fund.

QUESTION 12 What is the Sharpe ratio of your risky portfolio? A. 27% B. 37% C. 19.32% D. 62.9% E. 17.58% 4 points

QUESTION 13 What is the Sharpe ratio of your overall portfolio? A. 37% B. 27% C. 12.25 D. 10.67 E. 70%

In: Finance

Having an issue with question C. My answer continues to be incorrect. Thank you. McGriff Dog...

Having an issue with question C. My answer continues to be incorrect. Thank you.

McGriff Dog Food Company normally takes 27 days to pay for average daily credit purchases of $9,460. Its average daily sales are $10,700, and it collects accounts in 27 days.  
  
a. What is its net credit position?
  

b-1. If the firm extends its average payment period from 27 days to 38 days (and all else remains the same), what is the firm's new net credit position? (Negative amount should be indicated by a minus sign.)

In: Finance

def warmer_year(temps_then: List[int], temps_now: List[int]) -> List[str]: """Return a list of strings representing whether this year's...

def warmer_year(temps_then: List[int], temps_now: List[int]) -> List[str]:
"""Return a list of strings representing whether this year's
temperatures from temps_now are warmer than past temperatures
in temps_then. The resulting list should contain "Warmer" at the
indexes where this year's temperature is warmer, and "Not Warmer"
at the indexes where the past year was warmer, or there is a tie.

Precondition: len(temps_then) == len(temps_now)

>>> warmer_year([10], [11])
['Warmer']
>>> warmer_year([26, 27, 27, 28], [25, 28, 27, 30])
['Not Warmer', 'Warmer', 'Not Warmer', 'Warmer']
"""

## complete the function here

In: Computer Science

Following are the ages of the winners of men’s Wimbledon tennis championship from 1968 to 2010....

Following are the ages of the winners of men’s Wimbledon tennis championship from 1968 to 2010.

  1. Construct a frequency distribution table. Begin with a lower class limit of 17 and use a class width of 3.
  2. Explain the lower class limit, upper class limit, class boundaries, class midpoint and class width using the information in your first row of your frequency distribution table.
  3. Draw a histogram.
  4. Describe the shape of the histogram.
  5. Discuss the skewness in the distribution.

29

30

26

27

25

27

21

31

20

21

22

23

24

22

29

24

25

17

18

22

22

21

24

22

22

21

22

23

26

25

26

27

28

31

21

21

22

23

24

25

22

27

24

                  

In: Statistics and Probability

Suppose that you are responsible for running the Facebook page of a local company that you...

  1. Suppose that you are responsible for running the Facebook page of a local company that you are working for. The following metrics summarize the account information for the past month:

    Total number of likes on the posts = 150

    Total number of comments on the posts = 100

    Total number of shares of the posts = 20

    Total number of posts you made = 10

    Total number of followers of the page = 1000

    Answer the next four questions based on the information provided

    What is the amplification rate?

    A.

    15

    B.

    10

    C.

    27%

    D.

    15%

    E.

    2

  1. What is the applause rate?

    A.

    15

    B.

    10

    C.

    2

    D.

    27%

    E.

    15%

  1. What is the engagement rate?

    A.

    10

    B.

    2

    C.

    15

    D.

    15%

    E.

    27%

  1. What is the conversion rate?

    A.

    2

    B.

    15%

    C.

    10

    D.

    15

    E.

    27%

In: Operations Management