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nikitadnepr [17]
1 year ago
14

when an estimated model begins to describe the quirks of the data rather than the real relationships between variables, this is

called:
Business
1 answer:
Masteriza [31]1 year ago
4 0

<u>Overfitting</u> is the term used when an estimated model starts to capture the peculiarities of the data rather than the true relationships between variables.

Overfitting is a mistake that happens when a certain function aligns too closely to a small number of data points in data modeling. Financial experts run the danger of overfitting a model with scant data and getting inaccurate findings.

When a model learns the information and noise in the training data to the point where it adversely affects the model's performance on fresh data, this is known as overfitting. This indicates that the machine learns concepts from the noise or random oscillations in the training data.

To learn more about overfitting

brainly.com/question/5008113

#SPJ4

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IN planning a database and it's related tables it is important to consider
IRISSAK [1]

In planning the database it is important to consider- what each table is 'about'.

Explanation: It becomes very important so that any  sort of  duplicate data can be avoided. These databases are the source which provides the information. It should be segregated into several subject based tables. Basically, databases provides  the access to the accurate information and to provide accuracy one must be careful while creating. Every table is anyhow related to another.

5 0
3 years ago
Economic Ordering Quantity (EOQ). The Gentry Garden Center sells 100,000 bags of lawn fertilizer annually. The optimal safety st
GalinKa [24]

Answer:

1. Annual demand ( D) = 100,000 bags

Ordering cost per order (Co) = $15

Holding cost per item per annum (H) = 15% x  $2 = $0.30

EOQ = √<u>2DCo</u>

                H

EOQ = √<u>2 x 100,000 x $15</u>

                  0.30

EOQ = 3,162 units

2. Maximum inventory

   = Safety stock + EOQ

   = 1,500 + 3,162

   = 4,662 units

3. Average inventory

   = EOQ/2

   = <u>3,162</u>

         2

   = 1,581 units

4. Number of order

   = <u>Annual demand</u>

            EOQ

   = <u>100,000</u>

        3,162

  = 32 times

       

Explanation:

EOQ is the square root of 2 multiplied by annual demand and ordering cost per order divided by  holding cost per item per annum.

Maximum inventory is the aggregate of safety stock and EOQ.

Average inventory is economic order quantity divided by 2

Number of order is the ratio of annual demand to economic order quantity.

3 0
3 years ago
Person defines a person waiting for a heart transplant. This class is already written for you. SurvivabilityByAge defines the ra
VLD [36.1K]

Answer:

Explanation:

A heart transplant is a surgical procedure that replaces the person’s heart with a donor heart. A person may require a heart transplant for several reasons including congenital, arterial and muscle diseases or for unforeseen reasons such as accidents or viral infections.

The donor heart is matched to the recipient by blood type. More variables are also used to decide which recipient receives a heart if there are not enough hearts available for all recipients waiting for a transplant. The variables included in the decision may include the recipient state of health, cause of the heart condition and the urgency of the transplant.

The main goal of this project is for you to write a matching function that receives as a parameter the number of available hearts for transplant and will output all the recipients ranked in order of precedence.

8 0
3 years ago
While eating at Alex’s "Pizza by the Slice" restaurant, Clara experiences diminishing marginal utility. She received 10 utils fr
klemol [59]

Answer:

Alex may have to lower the price to convince Clara to buy a second slice.

Explanation:

Marginal utility is an economic concept that says that a consumer recieves more marginal utility in the first consumption of a good or services than in the second and the subsequents. In fact with each consumption the marginal utility reduces, this effect is known as diminishing marginal utility.

One of the the methods to reduce the effects of the diminishing marginal utility is to reduces prices. As the utility of a product decreases as its consumption increases, consumers are willing to pay smaller amount of money for more of the product.

6 0
2 years ago
Two investment advisers are comparing performance. One averaged a 19% return and the other a 16% return. However, the beta of th
pentagon [3]

Answer (A):

Need more data to select the better adviser

<u>Explanation: </u>

Adviser A averaged 19% return on the investment which is more than that of Adviser B who averaged 16% return on investment. However, adviser A has a beta of 1.5 which is also greater than that of Adviser B who has a beta of 1. This means that adviser A made a more riskier investment and hence a higher average return on investment. We need more data to tell which adviser performed better in relation to each other.

Answer (B):

Investment Adviser B

<u>Explanation:</u>

R_{f} = T-bill rate = 6%

R_{m} = Market return = 14%

R_{m} - R_{f} = Market risk premium = 14% - 6% = 8%

ER_{a} = Average Return by Adviser A =19%

\beta _{a} = Beta of Adviser A = 1.5

ER_{b} = Average Return by Adviser B =16%

\beta _{b} = Beta of Adviser B = 1

CAPM Equation is ER_{i} = R_{f} +\beta  (R_{m} - R_{f} ) +\alpha

<u>For Adviser A</u>

ER_{i} = 6 + 1.5 (14 - 6) = 18%

The expected average return for the investment is 18% which means that Adviser A over performed the market by 1 %

<u>For Adviser B</u>

ER_{i} = 6 + 1 (14 - 6) = 14%

The expected average return for the investment is 14% which means that the Adviser B over performed the market by 2 %

Clearly, Adviser B performed better than Adviser A.

Answer (C):

Adviser B

<u>Explanation:</u>

<u />

In this part, the R_{f} = 3 % and R_{m} = 15%

All else remains the same

We make similar calculation as in part B

4 0
3 years ago
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