Answer:
$0
Explanation:
There are two Step for the computation of casualty loss deduction if the casualty loss is personal
Step 1 Reduce $100 per casualty event from the casualty loss
Step 2 Reduce 10% of the AGI from the amount you get from step 1
Data
Loss = $2,500
AGI = $35,000
Deduction =?
Solution
Step 1 = $2,500 - $100 = $2,400
Step 2: $2,400 - ($35,000 x 10%) = $0
If the amount in step 2 is $0 then the person is not eligible for casualty loss deduction
Answer:
C) cluster analysis
Explanation:
Regression analysis. The regression analysis determines the relationship between the two variables. Thus, one of these quantities (X) is given in advance(dependent) and is not random. The second value (U) is the independent and random number. The randomness of the second quantity can be explained for two reasons. First: Measuring the random number U, which depends on the number X, is associated with certain errors; second: The value of U may depend on other uncontrollable factors, in addition to being dependent on the value of the corresponding X value. In this case, we need to talk about the distribution of the random variable U against each value of the X variable. The main purpose of the regression analysis is to build a mathematical model that takes into account the factors affecting the physical process using experimental data and evaluating its accuracy. The least squares method is used for statistical estimation of the mathematical model's suitability to experimental data.
Discriminant analysis is a method used in statistics, pattern recognition, and machine learning to find a linear combination of attributes that define or distinguish two or more classes or events. The resulting combination can be used as a linear classifier or more often to reduce the size before classifying. LDA is closely related to variance analysis (ANOVA) and regression analysis, which try to express a dependent variable as a linear combination of other properties or dimensions. However, while variance analysis uses qualitative independent variables and a continuous dependent variable, discriminant analysis has continuous independent variables and a qualitative dependent variable.
Cluster analysis or clustering is a problem of grouping a number of objects. In this problem, objects must be in some way more similar to those in other groups to accommodate the same clusters (clusters). One of the main problems with data transmission is a common technique used in statistical data analysis. It is also used in machine learning, pattern recognition, image analysis, data retrieval, bioinformatics, data compression and computer graphics.
One-way analysis of variance (ANOVA) is used to calculate the significance of the difference between three and more independent means in a normally distributed series. ANOVA compares the arithmetic means of three or more groups alone; ANOVA result is also significant when at least one of these comparisons is significant. To measure the significance it will have the relation to the regression analysis that's why there will be dependent and independent variables as well.
Answer:
(a) Continue to operate.
(b) Shut down
(c) Continue to operate.
Explanation:
(a) It is given that the firm will experiencing a loss of $5000. Therefore, it means that a loss of $5,000 is borne by the producer of the fixed cost. It is a portion of fixed cost but the firm will continue to operate in the short run if it covers all of the variable cost in the short run.
(b) The firms in the long run try to cover all of its variable and fixed cost. If this situation persists then this firm unable to cover its all costs. Therefore, the firm will shut down its operation and go out of the business.
(c) Now, if the firm’s fixed costs are $2,000.
There is a reduction in the fixed cost by $6,000
Previously firm able to cover = $8,000 - $5,000
= $3,000
It means that it cover its fixed cost and hence, the firm will operate in both short run and long run.
Answer:
Check the explanation
Explanation:
Labor Input is an indicator the pointer characterizing the labor expressed expenditure in man-hours on a production of a particular consumer value or on a technical operation.
Total product is the total amount of output that a firm produces; it is usually stipulated in relation to a variable input.
Marginal Product is the physical efficiency or productive ability of an input in the change in output which results from employing one more unit of a particular input, presumptuous that the amounts of other inputs are kept constant.
Average Product is the amount of the overall output that was being produced per unit of a variable input, holding all other inputs at a constant rate.
The graphical solution to the question above can be seen in the attached image below.
Answer:
a. The withdrawal is fully taxable.
Explanation:
When withdrawing from annuity before the age of 59.5, the amount is taxable as income. There will also be a 10% tax penalty, and there may be a surrender charge by the insurance company.
Lorraine was 53 when the withdrawal was made, so she will be affected by these charges.
It is advisable to not make withdrawals till after the accumulation phase and above 59.5 years old. Then these penalties will not apply, onlybthe income tax on the withdrawal.
