CORRELATION & LINEAR REGRESSION Prof. Jemabel Gonzaga-Sidayen Spearman rank order correlation coefficient rho (rs) • Spearman rho is really a linear correlation coefficient applied to data that meet the requirements of ordinal scaling • Formula: rs = 1 - 6 Σ D i 2 N3 - N – Di = difference between the ith pair of ranks – R(Xi) = rank of the ith X score – R(Yi) = rank of the ith Y score – N = number of pairs of ranks Try this Subject Proportion of Similar Attitudes (X) Attraction (Y) Rank of
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There is always more then one way at looking at things. Henry David Thoreau once said “the question is not what you look at‚ but how you see”. Every full proof plan or a perfect solution must and will have a flaw in it as what seems like a perfect plan to some people may not seem like that to some one else. It will depend on each individual’s point of view which will obviously vary. Have you ever experienced a moment in your life where your full proof plan‚ the perfect interpretation just falls
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Don’t Let These 5 Common Misconceptions Keep You from Getting a Will Most of us without good reason never think about drawing up a will. Some of the most common reasons for this are: 1. You believe that the end of your life will never happen. 2. You believe that making a will takes up too much time and is too expensive. 3. You believe that your family is capable of dividing assets fairly if you die suddenly. 4. You believe you don’t have enough wealth to worry about will making. 5. You believe
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Gas Prices and our Company’s Future Joey Willoughby BUS308 Business Statistics Instructor: Glenn Daniels 2/20/2012 Gas Prices and our Company’s Future Gas prices have been steadily rising for more than six years‚ and have never been higher this time of the year according to Chris Kahn‚ of the Associated Press. (yahoonews.com) and this is a significant concern for our delivery company. The more gas that is used‚ the
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PLANNING MY FUTURE 2 Planning my future is vital to me; it is like designing a solid foundation for me and for my family. During these irregular times in our economy credentials play a vital part on the amount of opportunities that I have access to. In this essay I will talk about what steps I will take and what challenges‚ accomplishments‚ and experiences I plan on
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EXERCISE 23.12 Budget Estimates LO2 LO3 William George is the marketing manager at the Crunchy Cookie Company. Each quarter‚ he is responsible for submitting a sales forecast to be used in the formulation of the company’s master budget. George consistently understates the sales forecast because‚ as he puts it‚ “I am reprimanded if actual sales are less than I’ve projected‚ and I look like a hero if actual sales exceed my projections.” 1. What would you do if you were the marketing manager
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Give a generic definition for a model According to Wilson’s definition a model is the explicit interpretation of one’s understanding of a situation‚ or simply of one’s idea about that situation. It can be expressed in mathematics‚ symbols or words. But it is essentially a description of entities‚ process or attributes and the relationships between them. It may be prescriptive or illustrative‚ but about all‚ it must be useful. Describe the purpose and uses of models There are various use
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Predict ‘kicks’ or bad purchases using Carvana – Cleaned and Sampled.jmp file. Create a validation data set with 50% of the data. Use Decision Tree‚ Regression and Neural Network approached for building predictive models. Perform a comparative analysis of the three competing models on validation data set. Write down your final conclusions on which model performs the best‚ what is the best cut-off to use‚ and what is the ‘value-added’ from conducting predictive modeling? Upload the saved file with
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Summary/Review Super Crunchers describes the importance of using numbers and statistics to replace or complement traditional methods of intuition in describing and predicting information. Through the use of mostly regression and hypothesis testing‚ Ian shows how finding trends using this information and the prevalence of big data (especially through the explosion of information from the internet) are shaping the way companies are evaluating data and making choices from this data. Ian shows how
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The Signal and the Noise Introduction Summary "The Signal and the Noise" is a non-fiction book written by Nate Silver that talks about predictions based on probability; particularly focusing on the outcomes of real-world predictions and why they did or did not fail. Published in 2012‚ this book is a commentary on the world of probability made by an ex-statistician. Silver begins this work by effectively emphasizing the relevance of his points by supporting his argument with data applicable
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