Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
3rd Edition
ISBN: 9781118729274
Author: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Publisher: WILEY
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Chapter 2, Problem 3P
Explanation of Solution
Given: Refer to the table 2.5 as the sample of the
To find: Whether the data was sampled randomly or not. Also, whether the data present in the table is a useful sample or not.
Solution:
In the given database table 2.5, the selection of data is linearly ordered...
Expert Solution & Answer
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Students have asked these similar questions
question about data exploration.
1. Show that a variance of zero implies that the value of a feature is constant.
2. Show that the (Pearson) correlation coefficient between a feature and itself is equal to one.
Q3: Train a regression model based on the first 200 rows. What is reg.intercept_ value ?
Specifically, please explain why all-subsets regression is preferable to stepwise regression when analyzing data.
Chapter 2 Solutions
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
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Similar questions
- When and why do we employ the Binomial, Poisson, and Proportional models of regression?arrow_forwardExplain the procedure (model building strategy) for binary logistic regression explain this thoroughly, using clear examples, and ensuring it's free from plagiarismarrow_forwardWhat is the sample linear correlation coefficient?arrow_forward
- What Is The sample linear correlation?arrow_forwardQuestion p .Suppose that the data for analysis includes the attribute age. The age values for the data tuples are (in increasing order) 13, 15, 16, 16, 19, 20, 20, 21, 22, 22, 25, 25, 25, 25, 30, 33, 33, 35, 35, 35, 35, 36, 40, 45,46, 52, 70. Show a boxplot of the data? Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this linearrow_forwardWhen it comes to doing an analysis of the data, what are the benefits of employing all-subsets regression rather than stepwise regression?arrow_forward
- In terms of data analysis, what are the advantages of employing all-subsets regression over stepwise regression?arrow_forwardQuestion 21If you are implementing regularized linear regression, and when you tested your hypothesis in a new dataset, you found that it suffer from high variance, how can you rectify the model? Give 3solutions.arrow_forwardA query is made about the musical preferences among the students of two careers, if HA proposes that there is a relationship between the preferences and the career, check by means of Chi squared with alpha=5% Engineering Law Rock 180 100 Jazz 190 120arrow_forward
- The difficulty in performing variance analysis is the calculation of BCWP because one must predict the percent complete. Discuss the various methods to eliminate this problemarrow_forwardIf you are implementing regularised linear regression and when you tested your hypothesis in a new dataset you found that it suffer from high variance. How can you rectify the model ? Give 3 Solutionsarrow_forwardIn terms of data analysis, what are the advantages of all-subsets regression over stepwise regression?arrow_forward
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