In data analysis, an independent variable is one that is manipulated or varied to observe its effect on a dependent variable. Here, “Employee training hours” is the independent variable as it is the factor being analyzed for its impact on productivity. The model aims to measure how varying training hours might affect employee productivity, where productivity is the dependent variable (the outcome). Independent variables in such models are critical as they help determine the causes or influences on the outcome, assisting in decisions around resource allocation, training programs, and employee performance enhancement strategies. The other options are incorrect because: • Employee productivity scores (Option 1) represent the dependent variable, the outcome being predicted. • Total company revenue (Option 2) does not directly relate to individual employee productivity in this context. • Number of company locations (Option 4) is unrelated to employee productivity and would not vary based on the training hours. • Data collection method (Option 5) is not an independent variable in this analysis model but part of the procedural framework.
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