Question

Company used multiple regression on 10 months of data

Answer 1

The company performed multiple regression analysis on a dataset spanning 10 months.

Step-by-step explanation

Multiple regression involves analyzing the relationship between a dependent variable and multiple independent variables. In this scenario, using data from a span of 10 months allows for a more comprehensive understanding of how various factors impact the dependent variable over time.

By employing multiple regression, the company can assess the combined influence of these variables on the outcome of interest. This method enables a more nuanced exploration of relationships and predictions compared to simpler regression techniques, especially when multiple factors contribute to the observed patterns or trends.

Multiple regression is a statistical technique used to understand the relationship between a dependent variable and two or more independent variables. By examining data over 10 months, the company gains insights into the complex interplay between different factors influencing the outcome.

Understanding the impact of various variables collectively over an extended period helps in making more informed decisions or predictions within a business context.

Answer 2

Multiple regression analysis was conducted using data from 10 months.

Explanation:

The company employed multiple regression analysis, a statistical method that involves examining the relationship between multiple independent variables and a dependent variable, utilizing information gathered over a period of 10 months. Multiple regression allows the exploration of how various factors collectively influence the dependent variable.