Homework 9 combined questions

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Kennesaw State University *

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3300

Subject

Economics

Date

Apr 3, 2024

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pdf

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3

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Uploaded by Jsacct2020

salesperson years of experience annual sales($1000) 1. Draw a scatter plot 1 1 80 2 3 97 3 4 92 4 4 102 5 6 103 6 8 111 7 10 119 8 10 123 9 11 117 10 13 136 2. Find Estimate regression 3. The estimated annual sale in thousands of dollars for a sales person with 9 years of experience was 116. The calculation is as follows: Y ^=80+4 X =80+4(9)=80+36=116 The simple linear regression line is, y^ =80+4XThis equation explains the increasing the every year of experience then annual sales in thousands of dollars for every person will be increases by the value of 4. 0 50 100 150 0 2 4 6 8 10 12 Chart Title Series1 Series2 Jade Scott Econ3300 Homework 9 Question 1
Jade Scott Econ 3300 Homework 9 Question 2 Question 2 Answers 1. The production volume and the total cost are given. The sample size is, n=6 \ x―=575 y―=5,616.66667 ( x−x―)(y−y―)=712,500 (x−x―)2=93,750 (y−y―)2=5,648,333.33333 The slope can be calculated as, B ^1=∑(x−x―)(y−y―)∑(x−x―)2=712,50093,750=7.6 The y-intercept is calculated as, B ^0=y―− B ^1x―=5,616.66667−7.6×575=5,616.66667−4,370=1,246.66667 So, the estimated regression equation is,
y^=B^0+B ^1x=1,246.66667+7.6x The B^1 can be interpreted as the average total cost increases by 7.6 for per unit increased in production. So, the variable cost for per unit produced is 7.6 . The coefficient of determination is calculated as, R2=(∑(x−x―)(y−y―))2∑(x−x―)2∑(y−y―)2=712,500293,750×5,648,333.33333=507,656,250,000 529,531,249,999.687=0.95869 So, R2 is 0.95869 . So, approximately, 95.689% of variation in total cost can be explained by the production volume. The estimated total cost for x=500 is, y^=1,246.66667+7.6(500)=1,246.66667+3,800=5,046.66667 R2 is 0.9586 9. approximately, 95.68 9 % of variation in total cost can be explained by the production volume. The estimated total cost for x= 50 0 is, y^=1,246.66667+7.6(500) =1,246.66667+3,800 =5,046.66667 Final Answer: The estimated regression equation is, y^=1,246.66667+7.6x The variable cost per unit produced is 7.6. The coefficient of determination is 0.95869. Approximately, 95.689% of variation in total cost can be explained by the production volume. The estimated total cost is 5,046.66667 for 500 units must be produced on next month.
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