A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.
Note: R² is the square of the correlation coefficient between the data and the model.
B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:
• linear: 242.89
• exponential: 515.34
• quadratic: 304.36
• third-degree polynomial: 308.22
• fourth-degree polynomial: 311.96
A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.
Note: R² is the square of the correlation coefficient between the data and the model.
B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:
• linear: 242.89
• exponential: 515.34
• quadratic: 304.36
• third-degree polynomial: 308.22
• fourth-degree polynomial: 311.96
A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.
Note: R² is the square of the correlation coefficient between the data and the model.
B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:
• linear: 242.89
• exponential: 515.34
• quadratic: 304.36
• third-degree polynomial: 308.22
• fourth-degree polynomial: 311.96
A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.
Note: R² is the square of the correlation coefficient between the data and the model.
B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:
• linear: 242.89
• exponential: 515.34
• quadratic: 304.36
• third-degree polynomial: 308.22
• fourth-degree polynomial: 311.96
A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.
Note: R² is the square of the correlation coefficient between the data and the model.
B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:
• linear: 242.89
• exponential: 515.34
• quadratic: 304.36
• third-degree polynomial: 308.22
• fourth-degree polynomial: 311.96
A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.
Note: R² is the square of the correlation coefficient between the data and the model.
B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:
• linear: 242.89
• exponential: 515.34
• quadratic: 304.36
• third-degree polynomial: 308.22
• fourth-degree polynomial: 311.96
A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on their graphical qualities and R² values, which can both be found in the “Data and Graphs” attachment.
Note: R² is the square of the correlation coefficient between the data and the model.
B. Given that the actual U.S. Population in 2010 was 308.75 million, explain which of the following models is most accurate, including computations of the relative errors, based only on the following U.S. population predictions in millions by each model for the year 2010:
• linear: 242.89
• exponential: 515.34
• quadratic: 304.36
• third-degree polynomial: 308.22
• fourth-degree polynomial: 311.96
A1 | B | C | D | E | F |
2 | Model | Estimated value | Actual Value | Relative Error | Percent Error |
3 | • linear: | 242.89 | 308.75 | 78.66882591 | 21.33117409 |
4 | • exponential: | 515.34 | 308.75 | 166.9117409 | -66.91174089 |
5 | • quadratic: | 304.36 | 308.75 | 98.57813765 | 1.421862348 |
6 | • third-degree polynomial: | 308.22 | 308.75 | 99.82834008 | 0.171659919 |
7 | • fourth-degree polynomial: | 311.96 | 308.75 | 101.0396761 | -1.039676113 |
A1 | B | C | D | E | F |
2 | Model | Estimated value | Actual Value | Relative Error | Percent Error |
3 | • linear: | 242.89 | 308.75 | =C3/D3*100 | =(D3-C3)/D3*100 |
4 | • exponential: | 515.34 | 308.75 | =C4/D4*100 | =(D4-C4)/D4*100 |
5 | • quadratic: | 304.36 | 308.75 | =C5/D5*100 | =(D5-C5)/D5*100 |
6 | • third-degree polynomial: | 308.22 | 308.75 | =C6/D6*100 | =(D6-C6)/D6*100 |
7 | • fourth-degree polynomial: | 311.96 | 308.75 | =C7/D7*100 | =(D7-C7)/D7*100 |
The third polynomial model is having the least difference between the actual value and the calculated value.
Its Relative error is also near 100% and Percent error is near 0
A. Explain which model in the “Data and Graphs” attachment is most accurate, based only on...
i need 13,14 and 15 please The table shows the population P (in millions) of the United States from 1800 to 1870 where t represents the number of years since 1800. Source: U.S. Bureau of the Census 5.3 10 7.2 9.6 30 129 40 17.0 50 23.2 60 31.4 70 39.8 12. Use a graphing calculator to find an exponential growth model and a logistic growth model for the data. Then graph both models. 13. Use the models from part...
Which of the following is the most accurate source of denominator data for calculating disease rates in a defined portion of the general population in the US? A. death certificates B. U.S. Census C. reportable infectious disease reports D. hospital discharge records
10:34 LTE < Back Name 1. The table shows a country's gross domestic expenditures on research and development (in billions of U.S. dollars). Let4 correspond to the year 2004 car R&D spending a. Use a graphing calculator to find a quadratic function that models the data b. Use the trace feature to predict the spending in 2012 c. Insert a screenshot of your scatterplot and polynomial function. 2·The table gives performance data for a boat powered by a certain outboard...
solve using attached graphs if neccesary (2) 140 points Use the standard short-run AD-AS model to answer this question. (Assume that all the taxes in this model are income taxes.) Economists do not agree on the cause of the 1991-92 recession in the U.S. The two most promising explanations are: (A) the "oil price shock" explanation, and (B) the "credit crunch" explanation. The oil price shock explanation says that when Iraq invaded Kuwait in the summer of 1990, this created...
Below are two tables based on the actual populations of Raleigh, NC and Wake County, NC from 1920-1990. Using Excel, create separate tables for t versus p for the Raleigh and Wake County data. (Note: Some of these values are randomized and may not exactly match the data you have seen in the lesson.) Years since 1900 Raleigh Population (in thousands) 20 24 30 37.3 40 46.8 50 65.6 60 93.9 70 122 80 150 90 212 Years since 1900...
Exp oration #23-Solving Exponential Equations: HOMEWORK Homework Project A GDP of China e gross domestic product GDP of a country is the total value of goods and services produced y a country during one year. The United States has the largest GDP in the world, and it has been rising steadily over the past few decades. While China has a lesser GDP than the US, it's GDP has seen greater and greater increases in the recent past. The following data...
the first two are the instructions to the assignment and the last two are the data MATH.1220 Management Calculus Project #1 Wal Mart Dry Goods Sales 2002-2003 The following items are a guide for responses to be addressed in project one. Note that WalMart's fiscal year starts the first week of February. This means that when analyzing the data, week 26 s actually week 30 (26+4 weeks for January) in 2002 or the end of July 2002. Also, week 52...
Project #2Wal*Mart Dry Goods Sales 2003-2004The following items are a guide for responses to be addressed in project two. Note that WalMart’s fiscal year starts the first week of February. This means that when analyzing the data, week 41 is actually week 45 (41+4 weeks for January) in 2003 or the beginning of November 2003. Also, week 52 is actually week 4 (52+4 weeks for January 2003 minus 52 weeks for 2003) in 2004 or the end of January 2004. ...
Please answer questions 4 and 5 only !!! thank you the data from quest 3 is: P-values (0.00) (0.00) P-value for F = 0.00 a) Interpret the intercept and the clope Show the estimated regression equation in a diagram b) Interpret the value of R Tos-1.0476810 4. Refer to the regression results in question 3. a) Examine, based on the p-value, whether the slope (ba) is statistically significant at the 5% level. Mention all the steps. HB (2Sinbad level ...5...
1. Regression is always a superior forecasting method to exponential smoothing, so regression should be used whenever the appropriate software is available. (Points :1)TrueFalse2. Time-series models rely on judgment in an attempt to incorporate qualitative or subjective factors into the forecasting model. (Points : 1)TrueFalse3. A trend-projection forecasting method is a causal forecasting method. (Points : 1)TrueFalse4. Qualitative models attempt to incorporate judgmental or subjective factors into the forecasting model. (Points : 1)TrueFalse5. The naive forecast for the next period...