Regression Analysis Case StudyBackground: TechX, a software development company, was experiencing fluctuations in employee productivity. They were keen on understanding the factors influencing productivity to make informed decisions.Objective: Identify key factors affecting employee productivity and develop strategies to enhance overall performance.Regression Analysis: TechX conducted a regression analysis with the following variables: Dependent Variable: Employee Productivity $($measured in completed tasks per week$).$ Independent Variables: Work Hours, Training Hours, Project Complexity, and TeamCollaboration Score.Findings: The regression analysis revealed a strong positive correlation between employee productivity and both work hours and training hours. However, project complexity and team collaboration score showed weaker correlations.Required: Answer the following questions$1.$ What challenges was TechX facing in terms of employee productivity?$2.$ Why did TechX decide to conduct a regression analysis, and what was their primary objective?$3.$ What were the dependent and independent variables in TechX's regression analysis?$4.$ What did the regression analysis reveal about the correlation between employee productivity and different factors?$5.$ How did the interpretation of the regression analysis results guide TechX's decision$-$making?$6.$ What specific insights did TechX gain about the impact of work hours, training, project complexity, and team collaboration on employee productivity?$7.$ How should the company adjust work hours, training, project planning, and team collaboration to address the identified factors?