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1. Which of the following is an example of time series problem? a. Estimating number of covid 19 patients in next 6 months. b. Estimating the total sales in next 3 years of an insurance company. c. Estimating your CGPA for Summer 2021. a) Only a b) Only b c) Only a & b d) All 3 of them 2. Which of the following can't be a component for a time series plot? a) Seasonality b) Trend c) Cyclical d) None of the above 3. If the demand is 100 during October 2016, 200 in November 2016, 300 in December 2016, 400 in January 2017. What is the 3-month simple moving average for February 2017? a) 300 b) 350 c) 400 d) Need more information 4. A regression equation for weight (y variable) and height (x variable) for 55 college students gave an error sum of squares (SSE) of 10.7 and a total sum of squares (SSTO) of 85.2. The proportion of variation explained by x, R², is a) 11.2% b) 87.4% c) 88.6% d) None of the above

1. Which of the following is an example of time series problem? a. Estimating number of covid 19 patients in next 6 months. b. Estimating the total sales in next 3 years of an insurance company. c. Estimating your CGPA for Summer 2021. a) Only a b) Only b c) Only a & b d) All 3 of them 2. Which of the following can't be a component for a time series plot? a) Seasonality b) Trend c) Cyclical d) None of the above 3. If the demand is 100 during October 2016, 200 in November 2016, 300 in December 2016, 400 in January 2017. What is the 3-month simple moving average for February 2017? a) 300 b) 350 c) 400 d) Need more information 4. A regression equation for weight (y variable) and height (x variable) for 55 college students gave an error sum of squares (SSE) of 10.7 and a total sum of squares (SSTO) of 85.2. The proportion of variation explained by x, R², is a) 11.2% b) 87.4% c) 88.6% d) None of the above

MATLAB: An Introduction with Applications
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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1. Which of the following is an example of time series problem? a. Estimating number of covid 19 patients in next 6 months. b. Estimating the total sales in next 3 years of an insurance company. c. Estimating your CGPA for Summer 2021. a) Only a b) Only b c) Only a & b d) All 3 of them 2. Which of the following can't be a component for a time series plot? a) Seasonality b) Trend c) Cyclical d) None of the above 3. If the demand is 100 during October 2016, 200 in November 2016, 300 in December 2016, 400 in January 2017. What is the 3-month simple moving average for February 2017? a) 300 b) 350 c) 400 d) Need more information 4. A regression equation for weight (y variable) and height (x variable) for 55 college students gave an error sum of squares (SSE) of 10.7 and a total sum of squares (SSTO) of 85.2. The proportion of variation explained by x, R³, is a) 11.2% b) 87.4% c) 88.6% d) None of the above
Transcribed Image Text:1. Which of the following is an example of time series problem? a. Estimating number of covid 19 patients in next 6 months. b. Estimating the total sales in next 3 years of an insurance company. c. Estimating your CGPA for Summer 2021. a) Only a b) Only b c) Only a & b d) All 3 of them 2. Which of the following can't be a component for a time series plot? a) Seasonality b) Trend c) Cyclical d) None of the above 3. If the demand is 100 during October 2016, 200 in November 2016, 300 in December 2016, 400 in January 2017. What is the 3-month simple moving average for February 2017? a) 300 b) 350 c) 400 d) Need more information 4. A regression equation for weight (y variable) and height (x variable) for 55 college students gave an error sum of squares (SSE) of 10.7 and a total sum of squares (SSTO) of 85.2. The proportion of variation explained by x, R³, is a) 11.2% b) 87.4% c) 88.6% d) None of the above
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