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:
Break-even level of output = 56
Explanation:
Given:
Annual Revenue = $1,300
Total Fixed cost = $28,000
Variable cost = $800
Computation of contribution:
Contribution = Sales - Variable cost
Contribution = Revenue - Variable cost
Contribution = $1,300 - $800
Contribution = $500
Computation of Break-even level of output:
Break-even level of output = Total Fixed cost / Contribution
Break-even level of output = $28,000 / $500
Break-even level of output = 56
Answer:
c. the exaggerated hockey stick
Explanation:
Based on the information provided within the question it can be said that the business plan error that Nan is incurring is the exaggerated hockey stick. In the context a business, "a hockey stick" explains a startups growth as a linear steady growth at launch until it hits a certain tipping point and has a growth explosion. It seems though, that in this scenario Nan is exaggerating the initial growth aspect of the startup as saying that they can capture 40% of the market, which is an extremely high value.
Answer:
Explanation:
As we know that time interest earned ratio = Income before interest and taxes / interest expense.
Sales = 546000
less: cost of goods sold = (<u>244410</u>)
Gross profit 301590
Less: <u>expenses</u>
Depreciation expense =( <u>61900 </u>)
Profit before interest and taxes 239690
Less: tax
(239690 * 23%) = (<u>55128</u>)
Profit 184562
Profit - Retained earning Addition = Interest
184562 - 74300 = 110262.
Interest earned ratio = 239690 / 110262 = 2.17 times
Answer:
Correct answer is B that is <u>Indirect Organizational Pattern</u>
