predict the credit balance for a customer that has a household size of 5. Interpret this interval. (3337.87‚ 5877.23) What can we say about the credit balance for a customer that has a household size of 10? Denotes a point that is an extreme outlier in the predictors. Using MINITAB run the multiple regression analysis using the variables INCOME‚ SIZE and YEARS to predict CREDIT BALANCE. State the equation for this multiple regression model. Credit balance= 1276.02+ 32.2719 income(1000) + 346
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HONORS STATISTICS CH1 In an observational study‚ researchers simply observe characteristics and take measurements‚ as in a sample survey. In a designed experiment‚ researchers impose treatments and controls and then observe characteristics and take measurements. Data from a sample of citizens of a certain country yielded the following estimates of average TV viewing time per month for all the citizens. Answer: Inferential‚ because the statistics are used to make inference about the
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Chris Watt‚ Sarah Elmer‚ Kyle Luithly 1 May 2015 Pricing and Revenue Management Implementation of Pricing and Revenue Optimization Introduction Perhaps one of the most difficult managerial decisions in the 21st century is the decision to make a decision. Analysis paralysis‚ endless meetings‚ and corporate structure have made it painstakingly difficult to come to any real conclusions. So when the Chief Financial Officer‚ Bruce Berman‚ of Bloomindale’s was tasked with decision to implement ProfitLogic’s
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1. Convert prices to total return (% change in the price) = (Pt – Pt-1) / Pt-1 2. Remove outliers – sort data and remove anything +/- 20% 3. Calculate historical average and historical risk X-BAR = Σx/n Calculate the sum of the total return and divide by the number of observations • Variance = σ2 = Σ(x – x bar) 2 / (n-1) Fix X-BAR‚ double click to apply to all dates‚ get the sum‚ divide by (n-1) Risk = σ = √σ = SQRT(Variance) = standard deviation 4. Average Matrix Excel Options
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Literacy Paper 2 “You can be anything you want to be!” This is what typical parents say in order to give their children hope for the future. It is a lie. Even though many of Americas youth dream of what they want to be when they grow up‚ few dreams ever come true. The fact is no‚ you really cannot be anything you want to be. In reality‚ there are so many external forces that come into play in order for someone to create their own reality. Though I am talking about dreams‚ this myth is different
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with another who have the same taste as one does‚ but it’s different for children that are gifted. People may seem that they might be the outliers because it would seem difficult for a normal person communicating with a disable person. They won’t be able to hit it off as two normal people that would understand that person quickly and both persons can engage in the conversations. All of this leads to lack of careness and lack of communication. If a child with a disability doesn’t get the appropriate
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the 3rd class of passengers has higher chance to die‚ which is 3 times the 1st class of passengers. In the box-plot graph‚ died age is similar than survived age. The main difference of the two-sample t-test is that the survived box-plot has larger outliers that are the larger age points. Result: Actually‚ it can be obviously seen that the female has more frequency to be survived than male. Also‚ the 1st class of passengers are less frequency to be died but 3rd class of passengers are more frequency
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ranks among the rest of the scores. The percent is a comparison of a score to the highest score possible. 6. Are there any outliners in the data that could alter the results of our computations? The data points fall between 4 and 29. There are no outliers. No outliners 7. Deciles are values that divide a set of data into ten equal-sized parts. The 1st decile contains data up to but not including the 10th percentile; the 2nd decile contains data from the 10th decile percentile up to but not including
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country is skewed‚ a small wealthy class can increase per capita income far above that of the majority of the population. In this respect Median income is a more useful measure of prosperity than per capita income‚ because it is less influenced by the outliers. • Economic activity that does not result in monetary income‚ such as services provided within the family‚ or for barter‚ is usually not counted. The importance of these services varies widely among different
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of Distractors (5‚ 10‚ 15). As there were 9 (3×3 grid) different locations for each condition and we had twelve participants‚ a total of 5184 (4×4×3×9×12) trails were logged. As with the previous experiments‚ by removing 31 trails (~0.5%) as the outliers‚ we were left with 5153 trails. For each randomly generated trail‚ the system would test if the goal target was in front or behind a distractor. The overlapping (or occluded) condition would be marked. As the previous two experiments‚ we recorded
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