Business Analytics and Data Intelligence
| University | Asia Pacific University (APU) |
| Subject | BADB1014: Quantitative MethodsBMG323 BUSINESS ANALYTICS |
QUESTION 1 (20 Marks):
You are given the following dataset for monthly advertising spend and sales (in units):
Table 1: Data of Company J
| Month | Advertising Spend (RM) | Sales (Units) |
| jan | 10 | 50 |
| feb | 20 | 70 |
| mar | 35 | 80 |
a) Develop a simple linear regression model to predict sales based on advertising spend. (2 marks)
b) Calculate the coefficients of the regression equation. (15 marks)
c) Predict the sales if the advertising spend is RM80 (3 marks)
Recent Solved Questions
- Diploma in Network Technology Assignment, UCISS, Malaysia System Auto is a premier enterprise software company offering multiple products at scale both in the enterprise arena
- Occupational Safety and Health Assignment (OSHA) | Open University Malaysia
- Innovation Management Report, UniKL, Malaysia As a creative director of a new fashion company, you are required to create one fashionable product
- BAO2203: Corporate Accounting Assignment, VU, Malaysia Consolidated Financial Reporting The purpose of consolidated financial statements is to ‘present the financial affairs of a parent company
- Animal Crossing Thesis, OUM, Malaysia The rationale of the study is to investigate the communicative competence of the English language among Malaysian adult players
- Critical Thinking Essay, UNM, Malaysia Has colonization ended Contemporary Feminism Women’s Rights or Privilege
- Programming Assignment, APU, Malaysia At the product page clicking on the product will have a add outlet product, inside need to have a form that have a select option
- Understanding Preschool Parents’ Perspectives and Expectations of 21st Century Education
- Crime and Society Assignment, UUM, Malaysia Social control is the study of the mechanisms, in the form of patterns of pressure, through which society maintains
- Employee Engagement & HR Strategy Assignment: Case Analysis of Tech Solutions Inc. on Turnover, D&I, Performance, and Work-Life Balance