Kold Co has collected eight months of data on the relationship between marketing expenditure per month (x) and sales revenue per month (y). The following results from correlation and regression calculations are available: ΣΧ ΣΥ b r 91.00 200,388.76 4.36 0.90 Which of the following statements are correct? (1) If no money is spent on marketing, sales will be $24,999 (to the nearest $) on average (2) For every additional $1 spent on marketing, sales revenue would increase by $0.90 (3) 81% of the variation in sales revenue is explained by changes in the amount of marketing expenditure O 1 and 2 only O1 and 3 only O 1, 2 and 3 O2 and 3 only
Kold Co has collected eight months of data on the relationship between marketing expenditure per month (x) and sales revenue per month (y). The following results from correlation and regression calculations are available: ΣΧ ΣΥ b r 91.00 200,388.76 4.36 0.90 Which of the following statements are correct? (1) If no money is spent on marketing, sales will be $24,999 (to the nearest $) on average (2) For every additional $1 spent on marketing, sales revenue would increase by $0.90 (3) 81% of the variation in sales revenue is explained by changes in the amount of marketing expenditure O 1 and 2 only O1 and 3 only O 1, 2 and 3 O2 and 3 only
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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Given the results from correlation and regression calculations for eight months of data as
where, x: marketing expenditure per month and y: sales revenue per month
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