The Injury Severity Score (ISS) is a medical score to assess trauma severity. Data on ISS and hospital stay (in days) have been collected from a number of patients who were admitted to hospital after accidents. The ISS data are [64 35 50 46 59 41 27 39 66], and the length of stay data are [8 2 554 314 6]. Use MATLAB to plot the relationship between ISS and hospital stay.A
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- MatLab Load the data flu.mat (you can do this by typing load flu in your script). This data is the flu trends seen in the United States 2005-2006, divided by region. We will use regressions to look at the data during flu season in the Pacific region. Create your x data: have x equal to 1:30. These represent 30 weeks between Oct. 2005 and May 2006. Create your y data: have y equal to flu.Pac(1:30)’. This is the flu trend for each week. Make sure you have an apostrophe after the last parenthesis. Fit the data below with a straight line and with a 2nd order polynomial. Use least-squares regression. Calculate the coefficient of determination (r^2) and the correlation coefficient (r) for each regression. Plot the two regression curves against the data. Which regression is better? Is there a polynomial you think would work better? Describe the data – what does it mean to you?Write an order to generate binomial data with the number of observations (n) being 50, the number of trials (size) being 5 and the probability of success being 0.5, then storing the results in the binomial data matrix, with the number of columns being 5.A supermarket chain promotes items regularly. Several offers are made each week, oftentimes with overlapping periods, for example, weekly offer, weekend offer and special branch offer. When a purchase is made for an item on a purchase date, and there are overlapping offer periods for that purchase date, the lowest offer price is chosen as the purchase price. An ItemOffer table from existing data was proposed: ItemOffer (ItemNo, ItemDescription, OfferlID, OfferStartDate, OfferEndDate, NonOfferPrice, OfferPrice, ItemStockLevel, ReceiptNo, purchaseDatetime, QtyPurchased) (a) Formulate and list the functional and multi-valued dependencies. (b) Draw a dependency graph and propose candidate key(s) for the table ItemOffer.
- Each person in a group of n persons (n >= 4) has independent information known only to themselves. Whenever a person calls another person in the group, they exchange all the information they know at the time of calling. Design a sequence of calls (specifying the persons involved in each call) that they have to make in order to ensure that everyone knows all the information. How many calls are there in your scheme?Write a computer code to do linear regression analysis of a given dataset to find the relation between two variables which gives the least sum of squares error. Using Excel or Matlab. Include a copy of the script, a sample input, and a sample output from your codes. Sample output must include modelfit parameters and the sum of the squared errors for the fit. Please also run the code for thefollowing data set to find and report the relation between y and x:x y25 3040 80120 15075 80150 200300 350270 240400 320450 470575 583Answer the given question with a proper explanation and step-by-step solution. Create a scatter plot of the following data of minutes driven and miles driven using Excel Driver Number Minutes driven Miles driven 1 30 15 2 22 8 3 62 32 4 45 18 5 15 10 6 24 22 7 37 12 8 14 3 9 48 15 10 36 52 11 45 40 12 24 16 13 50 48 14 32 21 15 8 2 Is there a relationship between minutes driving and miles driven?
- You are given a list containing the birth year of all students of CUI Lahore. Your task is todetermine the year in which minimum number of students were born. In terms of timecomplexity, what is the best way to solve this problem?In python, for a sample data with 4 columns and 60 rows how do you find the parameters for the regression with the feature map (see attached) where we consider the loss function to be the square of residuals. Once this is done, how do you compute the empirical risk? I've attached some of the data below, it would be sufficient to see how you get results for the question using the above dataset. 1 14 25 620 -1 69 29 625 0 83 27 850 0 28 25 1315 1 41 25 2120 -1 153 31 1315 0 55 25 2600 0 55 31 490 1 69 25 3110 1 83 25 3535Theoretical Overview Suppose we have a set of data consisting of ordered pairs and we suspect the x and y coordinates are related. It is natural to try to find the best line that fits the data points. If we can find this line, then we can use it to make all sorts of other predictions. In this project, we're going to use several functions to find this line using a technique called least squares regression. The result will be what we call the least squares regression line (or LSRL for short). In order to do this, you'll need to program a statistical computation called the correlation coefficient, denoted by r in statistical symbols: NOTE: Equation is written assuming you start at the value 1. Lists start at index 0. Once you have the correlation coefficient, you use it along with the sample means and sample standard deviations of the x and y-coordinates to compute the slope and y-intercept of your regression line via these formulas: Tasks: In this project, you must read…
- Analysts at a start-up company are analyzing 35 months of sales data. They partition the data (the first 20 observations are assigned to the training set; the most recent 15 months are in the test set). The only independent variable is T (month number, ranging from 1 to 35). Five models (polynomials of order 1 - 5) are fit to the data. The first order is just the linear model; the 2nd order polynomial is the quadratic model; order 3 is the cubic model, etc. In each case the model is fit on the training data, and scored on both the training and test data sets. The results are below. Based on this output, which is the best predictive model? Metrics AE RMSE MAE SSE Metrics AE RMSE MAE SSE Model 2 Model 3 Model 5 Model 4 Model 1 1 <0.000001 0.955978 0.792802 18.277907 1 -1.034550 1.424155 1.208991 30.423248 Training Data Scoring Models (Polynomial of order 1-5) 4 2 <0.000001 0.928791 0.759583 17.253086 3 <0.000001 <0.000001 0.928295 0.855568 0.761951 0.652212 17.234646 14.639962 Test Data…Produce a table of time poverty rates overall, by age category, and by sex (hint: use the time deficit variable, which is available only for adults). What is the code for this in STATA. How to produce a time poverty table in STATA.Please use excel or matlab Simulate 100 random normal variables with mean 1.5 and standard deviation and create a histogram which shows the data in the range between −4 and 10, with class intervals of length 0.5 Make sure that your name and current date are also included in the histogram title on this and all the other histograms you generate for this exercise.