Which is NOT a benefit of using cross-validation for model induction evaluation? O It provides an estimate of generalization performance O It provides statistics on estimated performance, so that we can understand how performance will vary across data sets O It's always quick to compute relative to other holdout methods

Which is NOT a benefit of using cross-validation for model induction evaluation? O It provides an estimate of generalization performance O It provides statistics on estimated performance, so that we can understand how performance will vary across data sets O It's always quick to compute relative to other holdout methods

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter4A: Problems In Applying The Linear Regression Model

Section: Chapter Questions

Problem 2E

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A student prepared the following spreadsheet model to calculate the final price of clothing items which are sold at a discount. To be complete, the student included a calculation of sales tax in the final price, given the original price (180), discount (0.2), and sales tax rate (0.09) shown below. A B 1 2 Original Price 180 3 Discount(%) 0.2 4 Discount ($) = B2 × B3 5 Net Price = B2 − B4 6 Sales Tax(%) 0.09 7 Sales Tax($) = ROUND(B5 × B6,2) 8 Final Price = ROUND(B5 + B7,2) Determine what values the spreadsheet should display. (Round your answer to 2 decimal places.)
The Results below show the output of the following model: ?=?0+?1?1+?2?2+? Coefficient St. Error t-ratio Intercept 10.492 0.6655 15.77 ?1 0.0154 0.1889 0.08 ?2 0.1353 0.1889 0.72 Observations 100 ?2 0.985 Correlation matrix: X1 X2 X1 1 X2 0.950 1 Instructions: a. The above results show that the model has the problem of multicollinearity, what are the indicators of multicollinearity that can be identified from these results? b. What are the solutions to rectify multicollinearity?
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