Which of the following statistical tools is used for Prediction? (A) Range (B) Regression (C) Standard deviation (D) Mean Correct Ans: (B) Explanation: Regression is the most effective statistical tool for prediction. It helps analyze relationships between variables and forecast future trends. Researchers, businesses, and media analysts widely use regression to make data-driven decisions. In regression analysis, one variable is the dependent variable, while the others are independent variables. By studying past data, regression predicts how changes in independent variables affect the dependent variable. For example, media organizations use regression to predict audience ratings based on factors like show timing, content type, and viewer demographics. Similarly, advertisers use it to estimate the impact of ad campaigns on sales. There are different types of regression. Linear regression is the simplest, showing a direct relationship between two variables. Multiple regression considers multiple factors, providing more accurate predictions. Logistic regression helps classify outcomes, like whether a news article will go viral. Unlike range, standard deviation, or mean, regression focuses on forecasting rather than just summarizing data. It provides a structured way to analyze patterns and predict outcomes. Since prediction is crucial in journalism, advertising, and digital media, regression remains an essential tool for professionals. It helps them anticipate trends and make informed decisions.