TABLE 14-4 A Real Estate Builder Wishes to Determine How House Size

question 342

Multiple Choice

TABLE 14-4
A real estate builder wishes to determine how house size (House) is influenced by family income (Income) , family size (Size) , and education of the head of household (School) . House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years. The builder randomly selected 50 families and ran the multiple regression. Microsoft Excel output is provided below:
-Referring to Table 14-4, at the 0.01 level of significance, what conclusion should the builder draw regarding the inclusion of School in the regression model?

• A) School is significant in explaining house size and should be included in the model because its p-value is less than 0.01.
• B) School is significant in explaining house size and should be included in the model because its p-value is more than 0.01.
• C) School is not significant in explaining house size and should not be included in the model because its p-value is less than 0.01.
• D) School is not significant in explaining house size and should not be included in the model because its p-value is more than 0.01.

---

Definitions:

Sum of Squares

A statistical method that measures the variation within a dataset by summing the squared differences between each data point and the mean of the dataset.

High-Performance Work System

An organizational approach that integrates people, technology, and processes to maximize productivity and competitiveness.

Productivity

A measure of efficiency, often quantified as the ratio of outputs to inputs in the production process.

Efficiency

The ratio of the useful output produced by a system to the input provided, measuring the system's ability to optimize resources.