A. Always improves the model's accuracy. B. May lead to overfitting. C. Has no effect on the model. D. Always simplifies the model. 相关知识点: 试题来源: 解析 B。本题涉及多元回归模型中自变量数量的影响。选项 A,不是总会提高模型准确性。选项 B,自变量数量增加可能导致过拟合,正确。选项 C,...
Using data on the wholesale prices of prescription drugs, we estimate a model for drug prices based on our measures of competition, therapeutic purpose, age, and manufacturer. Our analysis reveals that these factors are significant in estimating drug prices. We observe that proliferation of dosing ...
Firstly, we conducted a comparison when multiple regression models are used instead of a single regression model, referencing the prior works where single-model approaches are implemented. Secondly, we depict the prediction accuracy gain when a Main results and findings In this work, the problem ...
There are two main advantages to analyzing data using a multiple regression model. The first is the ability to determine the relative influence of one or more predictor variables to the criterion value. The real estate agent could find that the size of the homes and the number of bedrooms hav...
C. This model is in accordance with the basic assumptions of multiple regression analysis because the errors are not serially correlated. 正确答案:C 分享到: 答案解析: One of the basic assumptions of multiple regression analysis is that the error terms are not correlated with each other. In ...
In this study, we propose a joint ecological regression model for multiple cities that accounts for spatial structure both within and between cities and explore the advantages of this model. The proposed model merges both disease mapping and geostatistical ideas. Our proposal is compared with two ...
A multiple linear regression model isyi=β0+β1Xi1+β2Xi2+⋯+βpXip+εi, i=1,⋯,n, wheren is the number of observations. yi is the ith response. βk is the kth coefficient, where β0 is the constant term in the model. Sometimes, design matrices might include information ab...
Assume that in a particular multiple regression model, it is determined that the error terms are uncorrelated with each other. Which of the following statements is most accurate? A. Unconditional heteroskedasticity present in this model should not pose a problem, but can be corrected by using ...
We use the standard method of determining whether a moderating effect exists, which entails the addition of an (linear) interaction term in a multiple regression model. For this reason, you might often hear this type of analysis being referred to as a moderated multiple regression or as its ...
The purpose of a regression model is to figure out how changes in predictor values are related to changes in the response mean. When we want to model... See full answer below.Become a member and unlock all Study Answers Start today. Try it now Create an account Ask a question Our ...