Copthorne Hotel †Department Analysis Essay -- Business and Management

Copthorne Hotel – Department Analysis Finance The finance department at the Copthorne Hotel is extremely important to the running of the hotel. Some of the finance operations are carried out within the hotel and some are centrally carried out. For example: Overall accounts, balance sheets for the whole company, Annual reports and break even analysis area all carried out centrally. These are all done centrally to reduce the amount of pressure on the individual hotels and to make sure that they have al the information sorted instead of waiting or the individual hotels to send all of the information to the central office. Here are a few more jobs that are carried out centrally. - Compilation of the Financial section of the annual report - Obtaining capital and resources for bulk purchases for all of the hotels regionally - Identifying start up costs - Identifying running costs - Preparing business plans if hotels need to borrow money - Paying salaries of the management team The finance department within the hotel carries out the simple jobs like paying invoices, preparing guest accounts and paying wages for staff (casual staff etc). Here are a few more jobs that the finance department within the hotel has to handle: - Purchasing orders - Monitoring expenditure (gas, electricity etc) to make sure the hotel stays within its budget Each finance department (centrally and locally) has 5 main jobs. They are as follows: Finance Manager, Cost Controller, Accounts Clerk, Salaries Clerk and several Accounts staff who monitor all of the other departments to make sure they do not go over their budget. The finance department would not be able to operate properly without the required staff and each person is equally important. How Finance helps the Copthorne to meet it’s aims and objectives The finance department is one of the most important departments in the hotel. The finance department manages all of the money that comes in and goes out of the hotel, so without the money that the finance department gives them, many departments would not be able to operate properly. At the beginning of the business year, the finance department set a budget for each department in the hotel. For example, the Human Resources department would be given a  £2,000 budget for all of the business year. The Human Resources ac... ...k together efficiently then Aims & Objectives will be met: - Finance & Administration – All of the other departments know notices and information about budgets, ASAP. - Finance & Marketing – All of the other departments know when their budgets will be received as Marketing may print notices or posters. The finance department will also know how much custom is being made from the advertising posters etc. - Finance & Sales – The finance department will know what is being spent, hat money is being brought in from sales of merchandise etc. - Marketing & Administration – If the Administration team work hard and keep the staff happy, the marketing department wont have to sell hotel as much. Changes I think could be made - The first thing I would add is a multi-department meeting at the end of every week. This would allow the departments to analyse the week’s performance to see if they could improve anything within the hotel. ÃÅ"-I would try and allocate certain days/weeks for certain people. For Example: a week special for families. This would bring in extra money, or a week for couples. This would make a boost to profits as it would be a ‘one off’ special.

A Regression Model

Introduction A regression model with one explanatory variable is called a Simple linear regression, that is it involves 2 points: single explanatory variable and the response variable which is the dependent variable Y and independent X, in the graph of two axis y and x coordinate and finds a linear function, as precisely as it can to explains the response variable values as a function of the expanatory variables. The term simple means in statistics that the response variable y is related to one predictor x. The linear regression is given as Y=?0+?1 + ? and they are two parameters that are used estimate the slope of the line ?1 and the y- intercept of the line ?0. ? is the error term.Background Linear Regression has played a vital role in assisting in the analysis of medical data. It makes it possible for the recognition and grouping associated multiple factors. It as well also allows the recognition of anticipating related dangerous factors and the counting of dangerous scores for a single person's prediction, this was made possible by English scientist Sir Francis Galton (1822–1911), a family member of Charles Darwin, made sufficiently benefaction to both in the study of genes and in the study of behaviour and mind . He is the one that came with regression and introduced statistics in a study of living organism.In his study the data sets that he regarded persistent was the heights of male parent and male child (father and son). He wanted to find out whether he can predict the height of a male child based on the male parent's height. Glancing at the results and scatterplots of the heights, Galton noted the relationship which was increasing and it was linear. After drawing a line to these results using the statistical tools, he observed that for male parents whose heights were more than the normal, the regression line anticipated male parents whose heights were more than the normal tended to have male children that have less height than the normal and male parents that have a height which is less than the normal tended to have male children that have a height that is more than the normal . Purposes Simple linear regression could be for example be purposefully in the instance of a an association among weight and height, Weight being the dependent variable y measured in kilograms and height being the independent variable x in centimeters, where the expected value of weight at a specified height is (X) = 2X/4 – 45 for X > 100 for example. Because of natural changeability, the weight could differ for example, it might remain normally distributed with a still ? = 4. The change between an experimental weight and mean weight at a specified height is denoted as the error for that weight. To realize the association that is linear, we might take the weight of three personalities at each height and relate linear regression to model the mean weight as a function of height using a straight line, ?(X) = ?0 + ?1X . The most general way to guesstimate the parameters, (pronounced beta not) ?0 and gradient ?1 (pronounced as beta not) is the least squares estimator, which is derived by differentiating the regression model with respect to ?0 and ?1 and solving for ?0 and also solving for ?1. Let (x i , y i ) be the Ith coordinates of Y and X. The least squares estimator, guesstimates the intercept and the slope reducing the residual sum of squared errors ?ei2= ?(y i – ? i)2= SSE where yi is the experiential value and ?i = b0 + b1xi is the estimated regression line and is called the fitted or â€Å"hat† values. The estimates are given by b0 = – b1 then b1 = SSXX / SSYY and where and are the samples means X and Y, SSXX and SSYY being standard deviations and r = r(X,Y) Pearson correlation coefficient. It is also denoted as Pearson's r, the Pearson product-moment correlation coefficient, is a measure of the linear associate amongst two variables X and Y. The Pearson correlation coefficient, r takes a variety of values from -1 to +1. A value of 0 recommends that there is no relationship amongst the variables X and Y. A value greater than 0 recommends a positive relationship that is, as the value of the other variable rises, so does the other variable. Before making use of the simple linear regression it is always vital to follow the steps below:1. Select an explanatory variable which is more possible to make the changes in the response variableBe convinced where the previous quantity for the explanatory variable transpire in the precise same period as the quantity of the respone variablePlot the interpretations on a graph making use of the y axis for the respone variable and the x axis for the predictor variable 4. Analyse the plotted interpretations for a linear outline and for any outliersKeeping in mind that there could be correlation without cause and influence. Importances Simple linear regression is considered to be widely valuable in many real-world applications and practises. Simple linear regression functions by assuming the independent and dependent variables have a association that is linear in the certain set-of-data.As expectations are and outcomes are interpreted, the individual handling the analysing role in a such data will have to be precarious since it has been premeditated before that there may be some variables which hinder minimal changes to occur while others will not consider being seized at a stationary point. Although the concept of linear regression is one that is more composite subject, it still remains to be one of the most vital statistical approaches being used till date. Simple linear regression is important because it has be wildly being used in many biological, behavioural , environmental as well as social sciences. Because of its capability to define likely associations among known variables which are simple independent and dependent , it may have assisted in the fields of finance, economics and trend line in describing major data that have proven to be of crux in the selected areas. Above all simple linear regression is vital since it has provided a clue of what desires to be predicted, more specially in regulatory functions involved in certain disciplines. In spite of the complication of simple linear aggression, it has been recognized to be sufficiently valuable in numerous day-to-day applications of life.

Sweet and Spice (Jane Eyre and Catherine Morland) Free Essay Example, 1250 words

This not only shows the way Jane felt but also the predicament of most women of that era. Catherine of Northanger Abbey was considerably more content with her life and rightly so, because as compared to Jane Eyre, Catherine lived a life of luxury. This difference in lifestyles is reflected in the developed characters of the two females, where I believe Jane to be a lot more of a mature lady, seasoned by life, Catherine on the other hand seems more naà ¯ve, a child who has yet to discover that the world holds many ugly truths and harsh realities, that lay outside her imagination. In the character of Jane we see a woman ahead of her times, not only in her independent spirit, but her education and the dignity she holds as a capable woman able to stand on her own (Kaplan, 1996). Charlotte wasn’t arguing for equal rights between men and women but only the recognition that they deserved as part of being humans. Catherine Morland in Jane Austen’s Northanger Abbey does not encounter the struggles Jane does in loss of family, finance and circumstance. We will write a custom essay sample on Sweet and Spice (Jane Eyre and Catherine Morland) or any topic specifically for you Only $17.96 $11.86/page The Growth of Catherine’s Character At the beginning of the novel, Jane describes Catherine as unable to learn anything before she is taught, â€Å"often inattentive and occasionally stupid. † The treasure for Catherine on her journey is in the lessons taught to her that improve her ability to read both novels as well as the people around her. She becomes a better judge of character by the story’s end when she comes to understand Isabella and General Tilney. Catherine adores gothic novels and these represent her means of escaping the mundane life she has led.