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A retail store manager wishes to examine the relationship between the annual revenu (RM'000) and its marketing strategy (RM'000). The summaries of the data are as follows: b) ΣΧ-4362 , ΣΧ- 225, n= 12, ΣΥ 2118025, ΣΥ= 4829 and ΣΧΥ- 9551. (i) Compute correlation coefficient and interpret the value. (ii) Form the linear regression line in the form of Ý = a + bX. (iii) Predict the revenue of the retail store when the marketing price is RM10000.

A retail store manager wishes to examine the relationship between the annual revenu (RM'000) and its marketing strategy (RM'000). The summaries of the data are as follows: b) ΣΧ-4362 , ΣΧ- 225, n= 12, ΣΥ 2118025, ΣΥ= 4829 and ΣΧΥ- 9551. (i) Compute correlation coefficient and interpret the value. (ii) Form the linear regression line in the form of Ý = a + bX. (iii) Predict the revenue of the retail store when the marketing price is RM10000.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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The following frequency distribution shows the daily revenues (to the nearest RM) of all the retail stores of a company. Daily revenues (RM) O but less than 100 100 but less than 200 200 but less than 300 300 but less than 400 400 but less than 500 Frequency 5 10 15 12 (i) Compute the mean and standard deviation. (ii) Calculate the median and interpret the value. (iii) Compute the coefficient of skewness and comment on the distribution of the daily revenues of the company.
Transcribed Image Text:The following frequency distribution shows the daily revenues (to the nearest RM) of all the retail stores of a company. Daily revenues (RM) O but less than 100 100 but less than 200 200 but less than 300 300 but less than 400 400 but less than 500 Frequency 5 10 15 12 (i) Compute the mean and standard deviation. (ii) Calculate the median and interpret the value. (iii) Compute the coefficient of skewness and comment on the distribution of the daily revenues of the company.
A retail store manager wishes to examine the relationship between the annual revenue (RM°000) and its marketing strategy (RM°000). The summaries of the data are as follows: b) ΣΧ-4362, ΣΧ-225, n= 12, ΣΥ-21 18025, ΣΥ-4829 and ΣXY- 95510. (i) Compute correlation coefficient and interpret the value. (ii) Form the linear regression line in the form of Ý = a + bX. (iii) Predict the revenue of the retail store when the marketing price is RM10000.
Transcribed Image Text:A retail store manager wishes to examine the relationship between the annual revenue (RM°000) and its marketing strategy (RM°000). The summaries of the data are as follows: b) ΣΧ-4362, ΣΧ-225, n= 12, ΣΥ-21 18025, ΣΥ-4829 and ΣXY- 95510. (i) Compute correlation coefficient and interpret the value. (ii) Form the linear regression line in the form of Ý = a + bX. (iii) Predict the revenue of the retail store when the marketing price is RM10000.
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