Regression analysis was applied between sales (in $1000s) and advertising (in $100s), and the following regression function was obtained. ỹ = 500+ 4x Based on the above estimated regression line, if advertising is $10,000, then the point estimate for sales (in dollars) is $900 $900,000 $40,500 $505,000
Regression analysis was applied between sales (in $1000s) and advertising (in $100s), and the following regression function was obtained. ỹ = 500+ 4x Based on the above estimated regression line, if advertising is $10,000, then the point estimate for sales (in dollars) is $900 $900,000 $40,500 $505,000
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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![**Regression Analysis Example**
A regression analysis was conducted to examine the relationship between sales (measured in $1,000s) and advertising (measured in $100s). The resulting regression function is as follows:
\[
\hat{y} = 500 + 4x
\]
**Estimation Problem**
Using the estimated regression line above, calculate the expected sales (in dollars) when advertising expenditure is $10,000. Select the correct estimate from the options below:
- $900
- $900,000
- $40,500
- $505,000
**Solution Explanation**
To find the point estimate for sales when advertising is $10,000:
- Convert the advertising amount into units of $100s: \(10,000 \div 100 = 100\).
- Use the regression equation: \(\hat{y} = 500 + 4 \times 100\).
- Calculate: \(\hat{y} = 500 + 400 = 900\).
Therefore, the point estimate for sales is $900,000. This suggests that for an advertising spend of $10,000, the expected sales amount is $900,000.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F550702b7-3ea9-42b8-88f0-99eaacc13a5a%2Fdddcd740-7750-4b22-9423-850e44531594%2F7i78dnu_processed.png&w=3840&q=75)
Transcribed Image Text:**Regression Analysis Example**
A regression analysis was conducted to examine the relationship between sales (measured in $1,000s) and advertising (measured in $100s). The resulting regression function is as follows:
\[
\hat{y} = 500 + 4x
\]
**Estimation Problem**
Using the estimated regression line above, calculate the expected sales (in dollars) when advertising expenditure is $10,000. Select the correct estimate from the options below:
- $900
- $900,000
- $40,500
- $505,000
**Solution Explanation**
To find the point estimate for sales when advertising is $10,000:
- Convert the advertising amount into units of $100s: \(10,000 \div 100 = 100\).
- Use the regression equation: \(\hat{y} = 500 + 4 \times 100\).
- Calculate: \(\hat{y} = 500 + 400 = 900\).
Therefore, the point estimate for sales is $900,000. This suggests that for an advertising spend of $10,000, the expected sales amount is $900,000.
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