Ols Regression, General Linear Model

OLS LINEAR REGRESSIONINTRODUCTIONOLS REGRESSION is a statistical tool that is usage for finding the retroversion . It is an force outive tool to determine if in that location is a relation in the midst of cardinal changeables . In add-on , the statistical tool customd for finding the family among three or more variants is known as multiplex REGRESSION method . The relationship is made amid the self-sufficient variable denoted usually as the X variable and the symbiotic variable denoted usually as the Y variableAlso , the outgo instruction to understand OLS lapsing is give an spokesperson The usage to a lower place is condition to compare the effect of the independent variable , the topic of pieces of euphonys used in the hospital ward section of the hospital with the terms of yield of euphonys is labeled as the variable X . The approach of each medicine use case is represented by the variable Y . in that respect are seven cases given in the example on a lower floor . The following paragraphs entrust all the way explain the OLS attractar fixation with a simple example and top it with several researches utilise OLS fieldar regression in a hospital or other health apprehension environmentBODYThe example below shows that the ac live to of eighty pieces of medicines is 800 . Likewise , the embody of using sixty pieces of the medicine volition cost 480 .

It is rattling clear that the highest cost of 5 ,600 is due to the use of the largest itemize of medicines which is 560 pieces Similarly , the lowest cost is only 320 beca! use it corresponds to the lowest number of medicines used in the persevering care section of a hospitalIf we draw the scatter maculation chart to show the points on the chart , the chart will examine like thisGraph 1We chamberpot then draw a straight line fleeting through most of the points This line is called the regression lineAnd , the regression track line would definitely look like the graph belowGraph 2The supra regression line to a higher place shows that in that respect is definitely a direct relationship between the dependent cost variable and the independent pieces of medicine . This is a good regression line because it goes North einsteinium . The regression line confirms that as the cost of medicine will extend if the number of medicines increases (Hendry , 1995 ,. 76On the other consider , a regression line that goes South East is a bad regression line because it shows that the cost amounts decrease as the number of units increase . A curbed regression line s hows that there is a not so direct relationship between the independent variable and the dependent variable . Continuing the interchange , The OLS regression fudge below shows the followingOLS regression formula . The regression formula isSYNa ( b SX Table 1Sample OLS linear Regression information X Y XYX2Number Medicines of Items Use (pieces )Cost 1 80 800 .00 64 ,000 .006 ,400 .001 60 480 .00 28 ,800 .003 ,600 .001 20 320 .00 6 ,400 .00400 .001120 1 ,200 .00...If you want to get a full essay, order it on our website: OrderEssay.net

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