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
icon
Related questions
Question
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:
[x
ΣΥ
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
1 and 2 only
O 1 and 3 only
O 1, 2 and 3
O2 and 3 only
Transcribed Image Text: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: [x ΣΥ 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 1 and 2 only O 1 and 3 only O 1, 2 and 3 O2 and 3 only
Expert Solution
Step 1: Write the given information

Given the results from correlation and regression calculations for eight months of data as

sum x equals 91.00

sum y equals 200388.76

b equals 4.36

r equals 0.90

where, x: marketing expenditure per month and y: sales revenue per month

steps

Step by step

Solved in 3 steps with 14 images

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman