Examlex

Solved

Assume You Ran a Multiple Regression to Gain a Better

question 59

Multiple Choice

Assume you ran a multiple regression to gain a better understanding of the relationship between lumber sales,housing starts,and commercial construction.The regression uses lumber sales (in $100,000s) as the response variable with housing starts (in 1000s) (in 1,000s) and commercial construction (in 1000s) (in 1,000s) as the explanatory variables.The estimated model is Lumber Sales = β0 + β1 Housing Starts + β2Commercial Contructions + ε.The following ANOVA table summarizes a portion of the regression results. Assume you ran a multiple regression to gain a better understanding of the relationship between lumber sales,housing starts,and commercial construction.The regression uses lumber sales (in $100,000s) as the response variable with housing starts (in 1000s) (in 1,000s) and commercial construction (in 1000s) (in 1,000s) as the explanatory variables.The estimated model is Lumber Sales = β<sub>0</sub> + β<sub>1</sub> Housing Starts + β<sub>2</sub>Commercial Contructions + ε.The following ANOVA table summarizes a portion of the regression results.   The standard deviation of the difference between actual lumber sales and the estimate of those sales is ____. A)  29.58 B)  48 C)  103.3 D)  875 The standard deviation of the difference between actual lumber sales and the estimate of those sales is ____.


Definitions:

Internal Customers

Refers to the employees or departments within an organization that depend on the work of another within the same organization.

Circuit Boards

Electronic components that provide a platform for mounting and interconnecting various electronic components through conductive tracks and pads.

Computer Manufacturing

The process of producing computer hardware, including assembly of component parts and the integration of software to create functional computing devices.

ISO Certification

A standardized measure granted by the International Organization for Standardization, certifying that an organization meets specific requirements of quality, safety, or efficiency.

Related Questions