The following data table shows the historical data for the first semester 2020, of the amount of sales of the company "IRC", which sells sneakers. Utilizing multiple lineal regression (as shown on the image), find an equation that estimates the number of sneakers sold by the company, based on advertising and revenue. Also, determine the standard error of estimation, the coefficient of determination, and the correlation coefficient. Write down what was the quantity in thousands sold in July if the amount of ads was 8 and the income for each unit was $135
The following data table shows the historical data for the first semester 2020, of the amount of sales of the company "IRC", which sells sneakers. Utilizing multiple lineal regression (as shown on the image), find an equation that estimates the number of sneakers sold by the company, based on advertising and revenue. Also, determine the standard error of estimation, the coefficient of determination, and the correlation coefficient. Write down what was the quantity in thousands sold in July if the amount of ads was 8 and the income for each unit was $135
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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The following data table shows the historical data for the first semester 2020, of the amount of sales of the company "IRC", which sells sneakers.
Utilizing multiple lineal regression (as shown on the image), find an equation that estimates the number of sneakers sold by the company, based on advertising and revenue. Also, determine the standard error of estimation, the coefficient of determination, and the
Transcribed Image Text:MONTH
January
February
March
April
May
June
QUANTITIES IN
THOUSANDS
33
61
70
82
17
24
ADVERTISING
(NUMBER OF
ADS)
3
6
10
13
9
6
INCOME
(FOR EACH
UNIT)
125
115
140
130
145
140
Transcribed Image Text:Multiple linear regression:
y = ao + αι*1 + azXz + e
Τ
s, = Σ wi-ao-a1x1 - 0272)
i=1
Standard error:
Sy =
S,
n – (m + 1)
dS,
λαο
asr
θαι
as,
dan
= -2
Σ
Oi - ad - arxai - antzi)
2Σ xaily; - ag
= -2
a1x1; – €2X2;)
22 x26; - an – anti - A2821)
y = do + arxi tantz tit am*m te
*1
X21
Στι
(ao)
Σχει Σχει Σχεσει {0}= Σκινι
Σχει Σκοτ Σχει
Σχεινε)
n
Determination coefficient:
12
St - S
St
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