OptiTech Solutions, a leading technology firm, specializes in developing innovative software solutions for businesses. The company is renowned for its commitment to quality and customer satisfaction, leveraging various strategies to integrate customer feedback into its product development lifecycle. OptiTech Solutions recently undertook a comprehensive review of its operational and strategic approaches to enhancing product development and customer satisfaction. The company gathered data on several key variables to better understand the effectiveness of its customer engagement and product quality programs. The insights and data for these variables are compiled from a diverse group of respondents within the company, including employees across product development, customer service, and quality assurance roles. Their feedback is crucial for understanding the operational effectiveness of processes designed to capture and implement customer requirements.

1. Use Customer_Satisfaction Download Customer_Satisfactiondata. Build a regression model to predict the likelihood of recommendation (the goal of this model is to predict Y).

Discuss (a) overall model validity, (b) model fit (R2), (c) statistical significance of factors, (d) regression equation, (e) managerial significance (standardized coefficients), and (f) your recommendations.

[Hint: first, review the variables and their labels to understand the data]

Please show the steps with using the spss program to solve this question .