1. Directions: Perform what is being asked. Write your answers on the spaces provided. 1. 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 (in Php000s) and sales (in Php000s). Below is the information on advertising expenses and sales for the last nine (9) months of 2019. April May June 10 14 12 180 170 190 Month Advertising Expense Sales Revenue a. Find the coefficient of correlation. July 9 220 b. Create a scatter diagram based on the data. Aug 13 235 Sept Oct 15 8 208 215 Nov 13 175 Dec 16 250

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
ChapterCSR: Contents Of Student Resources
Section: Chapter Questions
Problem 13.3P
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1. Directions: Perform what is being asked. Write your answers on the spaces provided.
1. 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 (in Php000s) and sales (in Php000s). Below is the information on advertising
expenses and sales for the last nine (9) months of 2019.
April
10
180
Month
Advertising
Expense
Sales
Revenue
a. Find the coefficient of correlation.
May June
14
12
170
190
July
9
220
b. Create a scatter diagram based on the data.
Aug
13
235
Sept Oct
15
8
215
208
Nov
13
175
Dec
16
250
Transcribed Image Text:1. Directions: Perform what is being asked. Write your answers on the spaces provided. 1. 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 (in Php000s) and sales (in Php000s). Below is the information on advertising expenses and sales for the last nine (9) months of 2019. April 10 180 Month Advertising Expense Sales Revenue a. Find the coefficient of correlation. May June 14 12 170 190 July 9 220 b. Create a scatter diagram based on the data. Aug 13 235 Sept Oct 15 8 215 208 Nov 13 175 Dec 16 250
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