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SJS Company has been selling to retail customers in the Metro Manila area. It advertises extensively on radio, print ads, and the Internet. The owner would like to review the relationship between the amount spent on advertising expenses and sales. Below is the information on advertising expenses and sales for the last 9 months of 2019. Month April Advertising 10 Expense Sales 180 Revenue May 14 170 June 12 190 a. Find the coefficient of correlation. July Aug 9 13 220 235 b. Create a scatter diagram based on the data. Sept 15 208 Oct 8 215 Nov 13 175 Dec 16 250

SJS Company has been selling to retail customers in the Metro Manila area. It advertises extensively on radio, print ads, and the Internet. The owner would like to review the relationship between the amount spent on advertising expenses and sales. Below is the information on advertising expenses and sales for the last 9 months of 2019. Month April Advertising 10 Expense Sales 180 Revenue May 14 170 June 12 190 a. Find the coefficient of correlation. July Aug 9 13 220 235 b. Create a scatter diagram based on the data. Sept 15 208 Oct 8 215 Nov 13 175 Dec 16 250

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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SJS Company has been selling to retail customers in the Metro Manila area. It advertises extensively on radio, print ads, and the Internet. The owner would like to review the relationship between the amount spent on advertising expenses and sales. Below is the information on advertising expenses and sales for the last 9 months of 2019. Month Advertising Expense Sales Revenue April May June July Aug 10 14 12 9 13 180 170 190 220 235 a. Find the coefficient of correlation. b. Create a scatter diagram based on the data. Sept 15 208 Oct 8 215 Nov 13 175 Dec 16 250
Transcribed Image Text:SJS Company has been selling to retail customers in the Metro Manila area. It advertises extensively on radio, print ads, and the Internet. The owner would like to review the relationship between the amount spent on advertising expenses and sales. Below is the information on advertising expenses and sales for the last 9 months of 2019. Month Advertising Expense Sales Revenue April May June July Aug 10 14 12 9 13 180 170 190 220 235 a. Find the coefficient of correlation. b. Create a scatter diagram based on the data. Sept 15 208 Oct 8 215 Nov 13 175 Dec 16 250
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