prediction model

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    Forecast Model

    Hi, everyone, Based on the forecast turnover, I am supposed to predict various activities (such as the number of manually entered orders, number of phone calls etc. (17 activities in total) in a company.My first thought was to do a linear regression per activity to be predicted. Means to...
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    Central Limit Theorem Indicative of Underlying Distribution?

    Hi All, I've been reading threads off and on for a couple days, and I can't get a good feel for how to answer this question I've got stuck in my head. I'm sure the answer is in here, but I'm an engineer, not a statistician, so I can't make the leap to apply the posts I've read to the...
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    How to assign new data to an existing clustering

    This is the situation. First, I performed factor analysis on 20 continuous variables, and reduced those to 10 factors using SPSS. Then, I did k-means cluster analysis and through trial & error came up with a 6 cluster solution. What I now need to accomplish is being able to predict which of...
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    Can I perfrom Two Way Anova? Also, is it possible to predict chemical percentage?

    Dear Fellow members, I have a data (attached the structure) and each data point is average of 30 observations. In this, I measure the chemical component effect to the 75 pound cement bag (0%-No chemical, 0.2%, 1.2% and 2.4%). I use four different methods to measure this effect (Breaking...
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    trend or forecast

    I have done some research related to computer users and files generating pattern on PC. I collected data from PC where I have information when (date) , time, size of file, user, and file name. What I want to do is to divide this data into two groups, with first data set I want to find pattern...
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    Predictive model for Turnover - Correlation or Survival Analysis

    Question 1 - I a working on developing a model to predict employee turnover. The variables that I have are age, tenure, job satisfaction, role clarity etc. Through research papers I have found the correlation coefficient for these variables but I am not sure on how to develop a model around it...
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    Augmenting model predictions with another model

    Hello All, I am currently working on a problem which involves predicting the value of some variable (which I will call Y), based on a number of input variables (X_i, i = 1..N). The problem is that one of the input values (X_1, say) is actually a prediction of Y produced from an independent...
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    Linear Discriminant Analysis - Sample size requirements

    As general question, Are 70 observations sufficient to design a reliable decision rule for discriminating between two groups, with a Fisher linear discriminant function?
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    Sport Statistical Modelling

    I am very interested in football and want to create a statistical model for predicting the amount of goals scored by football team by using past results (goals scored, goals conceded etc). The problem I am facing is what sort of distribution represents these football results most realistically...
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    Modelling a variable

    Hi everybody, my problem is a variable (age) that I wish to enter into linear regression - but, the variable is not linear. So, I want to model it. But, it doesn't work so far. I already tried: log10, exp, ², √, and /1. Is there anything else I could try? I already talked to a...