Answer:
Question a:
The non-controlling interest of Rockne´s 2018 net income is $111,000.- calculated by taking 30% of Rockne´s net income of $370,000.-
Question B:
There are 3 entries required to eliminate te sale of goods form rochne to doone.
The first entry eliminates the sales recorded by rockne against te inventory or cost of goods sold by recorded by doone. To consider, the 60% of the purchases went trhough cost of good sol d and 40% of the purchases remain in inventory until the following year. Here is the engru:
Debit/sales/$530
Credit/COGS/ ($318) 60%
Credit inventory ($212) 40%
The next entry has to do with the amount of inventory that remained from the last intercompany transaction. This is caclulated usin 40% of 2017 sales, which were $430. So:
Debit inventory $172
Credit Cogs ($172)
The last part is to eliminate the recievable on the book of rockne when they made te sale
Debit Payable $530
Credit receivable ($530)
"<span>For whom to produce?" is the one economic question among the following choices given in the question that </span><span>is addressed by targeting teenage buyers. The correct option among all the options that are given in the question is the first option. I hope that this is the answer that has actually come to your desired help.</span>
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.
I looked up the question, since this one is incomplete. I've attached an image of the correct chart. Elvis' marginal benefit of the fourth sandwich is his total benefit of eating 4 sandwich minus his total benefit from eating 3 sandwiches.
Looking at the chart, we see that this gives us 81-75 = 6.
Therefore, the Marginal Benefit of a fourth sandwich is 6.
