A company wants to review sales data from the previous quarter to determine whether to provide monetary awards to salespeople who met their sales goals. Which type of analytics should the company conduct to obtain this information?

Outlier analysis focuses on identifying data points that significantly differ from the rest of the dataset. While it can be useful in understanding anomalies in sales data, it does not provide a comprehensive view of overall performance against sales goals, making it less relevant for the company's purpose of evaluating awards for meeting targets.

Correlation analysis examines the relationship between two variables to determine if they move together. While it may show how sales figures relate to other factors, it does not provide a direct assessment of whether salespeople achieved their sales goals, thus failing to answer the company’s question effectively.

Regression analysis is used to predict the value of a dependent variable based on one or more independent variables. Although it can be useful for forecasting future sales or understanding trends, it is not necessary for simply reviewing past sales data to determine if goals were met, making it inappropriate for this scenario.