22. A financial analyst theorizes that commute × increase as the percentage of land availability for homes in a city decreases. To test this hypothesis, the analyst uses a regression analysis to explore how land availability predicts commute time. What does land availability represent in this regression?

Answer: B

Explanation:

Land availability represents the independent variable in this regression analysis.

In this context, land availability is being used to predict commute time, indicating that it is the variable that is manipulated or controlled to observe its effect on another variable.

A) It is the target variable.

This option is incorrect because the target variable, often referred to as the dependent variable, is the outcome being predicted or explained in the analysis, which in this case is commute time, not land availability.

B) It is the independent variable.

This option is correct as land availability is the variable that the analyst is examining to see how it impacts commute time. In regression analysis, the independent variable is the one that is assumed to influence or predict the dependent variable.

C) It is a control.

This option is incorrect because a control variable is one that is held constant to eliminate its effect on the dependent variable. Land availability is not being controlled but is instead being assessed for its impact on commute time.

D) It is the dependent variable.

This option is incorrect because the dependent variable is the one that is being predicted or explained, which is commute time in this scenario. Land availability serves a different role in the analysis.

Conclusion

In summary, land availability is correctly identified as the independent variable in this regression analysis, as it is the factor being tested for its influence on commute time. The other options fail because they mischaracterize the roles of the variables in the context of regression analysis. Understanding the distinction between independent and dependent variables is essential for correctly interpreting regression results.