Answer: Option B
Explanation: In simple words, commercial fitness facility refers to the gymnasiums an other such facility centers where individuals can go and work out for a better health and fitness. In house training refers to the knowledge that an employee gains while working for an organisation.
Employees working in such facility centers have the advantage to learn new techniques and exercises while working and getting paid. These facilities core operations relates to training their clients and making them more healthy thus they have to train their employees properly so they can handle the clients.
While doing so employee would get an in house training for the work that he or she is going to perform in the future,
The correct question should be:
Suzie generally prepares the majority of meals for her family. Even though she always prepares meals that are high in nutrients, she tends to make the same meals repeatedly. Which characteristics of a healthful diet is missing from Suzie's meal planning
Answer: Variety.
Explanation:
Suzie's meals lack variety although they are highly nutritional. Variety simply means to have different options or the absence of monotony. Suzie needs to create more types of meals rather than stick to a single pattern of meal.
Answer:
The statement is: True.
Explanation:
Human Resources (<em>HR</em>) is the department of an organization in charge of recruiting, selecting, and training employees so they can easily adapt to their work environment. Human Resource Management (<em>HRM</em>) is dedicated to allocating the potential of those employees in a way that they can be more productive to the point of creating a competitive advantage for the firm.
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.
