Production Volume (units) Total Cost ($) 100 1730 200 2792 300 4129 400 5385 500 6497 600 7764 700 8835 800 10180 900 11412 Which of the following is your estimated regression equation? Total Cost = 468 + 12.1(Production Volume) + e Production Volume = 468 + 12.1(Total Cost) + e Total Cost = 468(Production Volume) + 12.1 + e Production Volume = 468(Total Cost) + 12.1 + e Will you reject the null hypothesis that the slope is zero at a significance level of 1%? Yes No Not enough information What is the R-square from your regression analysis? (Round your answer to four decimal places.) Which of the following is the correct interpretation of the R-square? Production volume explains 99.96% of the variation in total cost. Total cost explains 99.96% of the variation in production volume. The dependent variable explains 99.96% of the variation in the independent variable. 96% of the data points are on the estimated regression line. What is the estimated cost of producing 1000 radio units based on your estimated regression equation? (Round to the nearest whole number.) What is the estimated error term ("the residual") associated with production of 500 radio units? (Round to the nearest whole number.) What is the margin of error for a 95% confidence interval for the estimated total cost when production is 1000 radio units? (Round to one decimal place.) What is the margin of error for a 95% prediction interval for the estimated total cost when production is 1000 radio units? (Round to one decimal place.) Which of the following is a proper interpretation of your estimated slope? When production volume increases by one unit, total cost increases by $12.10 on average. When total costs increases by one dollar, production volume increases by $12.10 units on average. When production volume increases by one unit, total cost increases by $468 on average. When total costs increases by one dollar, production volume increases by 468 units on average. About how much of the variation in total costs cannot be explained by production volume? Less than 1% 1% 2% 3%

Production Volume (units) Total Cost ($) 100 1730 200 2792 300 4129 400 5385 500 6497 600 7764 700 8835 800 10180 900 11412 Which of the following is your estimated regression equation? Total Cost = 468 + 12.1(Production Volume) + e Production Volume = 468 + 12.1(Total Cost) + e Total Cost = 468(Production Volume) + 12.1 + e Production Volume = 468(Total Cost) + 12.1 + e Will you reject the null hypothesis that the slope is zero at a significance level of 1%? Yes No Not enough information What is the R-square from your regression analysis? (Round your answer to four decimal places.) Which of the following is the correct interpretation of the R-square? Production volume explains 99.96% of the variation in total cost. Total cost explains 99.96% of the variation in production volume. The dependent variable explains 99.96% of the variation in the independent variable. 96% of the data points are on the estimated regression line. What is the estimated cost of producing 1000 radio units based on your estimated regression equation? (Round to the nearest whole number.) What is the estimated error term ("the residual") associated with production of 500 radio units? (Round to the nearest whole number.) What is the margin of error for a 95% confidence interval for the estimated total cost when production is 1000 radio units? (Round to one decimal place.) What is the margin of error for a 95% prediction interval for the estimated total cost when production is 1000 radio units? (Round to one decimal place.) Which of the following is a proper interpretation of your estimated slope? When production volume increases by one unit, total cost increases by $12.10 on average. When total costs increases by one dollar, production volume increases by $12.10 units on average. When production volume increases by one unit, total cost increases by $468 on average. When total costs increases by one dollar, production volume increases by 468 units on average. About how much of the variation in total costs cannot be explained by production volume? Less than 1% 1% 2% 3%

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

Production Volume (units)	Total Cost ($)
100	1730
200	2792
300	4129
400	5385
500	6497
600	7764
700	8835
800	10180
900	11412

Which of the following is your estimated regression equation?

Total Cost = 468 + 12.1(Production Volume) + e
Production Volume = 468 + 12.1(Total Cost) + e
Total Cost = 468(Production Volume) + 12.1 + e
Production Volume = 468(Total Cost) + 12.1 + e

Will you reject the null hypothesis that the slope is zero at a significance level of 1%?

Yes
No
Not enough information

What is the R-square from your regression analysis? (Round your answer to four decimal places.)
Which of the following is the correct interpretation of the R-square?

Production volume explains 99.96% of the variation in total cost.
Total cost explains 99.96% of the variation in production volume.
The dependent variable explains 99.96% of the variation in the independent variable.
96% of the data points are on the estimated regression line.

What is the estimated cost of producing 1000 radio units based on your estimated regression equation? (Round to the nearest whole number.)

What is the estimated error term ("the residual") associated with production of 500 radio units? (Round to the nearest whole number.)

What is the margin of error for a 95% confidence interval for the estimated total cost when production is 1000 radio units? (Round to one decimal place.)

What is the margin of error for a 95% prediction interval for the estimated total cost when production is 1000 radio units? (Round to one decimal place.)

Which of the following is a proper interpretation of your estimated slope?

When production volume increases by one unit, total cost increases by $12.10 on average.
When total costs increases by one dollar, production volume increases by $12.10 units on average.
When production volume increases by one unit, total cost increases by $468 on average.
When total costs increases by one dollar, production volume increases by 468 units on average.

About how much of the variation in total costs cannot be explained by production volume?

Less than 1%
1%
2%
3%

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