You make the bold assumption that there is a linear relationship between number of ads and sales revenues. Find the intercept, b0, and the slope, b1, of the estimated regression equation that will minimize the sum of square residuals.
You make the bold assumption that there is a linear relationship between number of ads and sales revenues. Find the intercept, b0, and the slope, b1, of the estimated regression equation that will minimize the sum of square residuals.
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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Question
You make the bold assumption that there is a linear relationship between number of ads and sales revenues. Find the intercept, b0, and the slope, b1, of the estimated regression equation that will minimize the sum of square residuals.
![The following six advertising campaigns show the number of ads (x) and the
resulting sales revenues (y) from each advertising campaign. Table 1 illustrates the data.
1.
TABLE 1. Sample data for sales (y) and number of ads(x)
Obs.
у
X; – x (x; – x)² yi - ỹ (X¡ – x)(y; – y)
e (yi - 7)? (ŷi – y)?
Vi – y)²
1
10
49
6 41
3
16
49
4
8 36
12
46
6.
8 43](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0956cf0b-5906-4b5a-a0f4-bc627eb69e8e%2Fb4e420ca-beef-4704-8055-1331bddb611f%2Fui1l2s_processed.png&w=3840&q=75)
Transcribed Image Text:The following six advertising campaigns show the number of ads (x) and the
resulting sales revenues (y) from each advertising campaign. Table 1 illustrates the data.
1.
TABLE 1. Sample data for sales (y) and number of ads(x)
Obs.
у
X; – x (x; – x)² yi - ỹ (X¡ – x)(y; – y)
e (yi - 7)? (ŷi – y)?
Vi – y)²
1
10
49
6 41
3
16
49
4
8 36
12
46
6.
8 43
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