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:
the recorded value of the new truck is $135,000
Explanation:
The computation of the recorded value of the new truck is given below;
In the case when the transaction has the commercial substance so the recorded value of the new truck would be equivalent to the invoice price or the fair value i.e. $135,000
Hence, the recorded value of the new truck is $135,000
The same would be considered and relevant
And all other values are to be ignored
Answer: segmentation
Explanation:
Market segmentation is when a business market that is made up of different customers is being divided, into smaller groups or segments based on some characteristics.
From the question, we are informed that XARA is a newly emerging wine company. After extensive market research, XARA divides its market into wine enthusiasts, casual drinkers and restaurants. Each category has its own needs, traits and marketing goals. In this scenario, XARA is using market segmentation.
Answer:
Option a should be selected
Explanation:
After considering the PV of both options A and B the option that has been selected is A.
For option A:-
A total of the present value of option A= -25000-925.926-857.339-793.832 = -27577.097
Present value = 27577
For option B,:-
Total = -20,000-3703.704-2572.017-1587.664
= -27863.385
The present value of option B = 27863
From the calculations I have attached, it is evident that option A has lower present value compared to option B. Therefore option A should be selected.
