An economic organization tracks summary statistics of various countries. These include GDP (gross domestic product per capita) and trade balances (measured as a percentage of GDP).Exporting countries tend to have large positive trade balances. Importers have negative balances. The data are shown in the accompanying table. Formulate the SRM with GDP as the responseand Trade Balance as the explanatory variable. Complete parts (a) through (c) below.Click the icon to view the data table.(a) Country X reported the highest positive balance of trade, 24.2% of GDP and per capita GDP equal to $63,000. Fit the least squares equation both with and without country X and compare theresults. Does the fitted slope change by very much?Find the least squares equation without country X. Complete the equation below.Estimated GDP ($ per cap) = ☐ ☐ Trade Bal (%GDP)(Round to the nearest integer as needed.)Data Table- XTrade Balance(%GDP)GDP($ per capita)-6.316,87615.744,932-0.99,334-7.913,81714.437,1816.628,298-3.85,9090.631,245-0.727,892-4.832,94414.745,2176.436,2353.513,0288.950,784-0.838,1575.727,787-6.115,4798.858,5212.327,042417,273

A regression is a technique in statistics that relates a dependent and independent variable. In this…

Answered: An economic organization tracks summary…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Create a scatterplot using this data: Long-Term Assets Long-Term Debt 26 16 39 20 45 24 47 26 47 30 48 36 54 38 56 43 60 46 62 42 64 38 69 48 Evaluate the scatterplot and choose the best descriptor of the evaluation. no relationship insufficient information positive negative
3. Consider the following sets of data from Dataset II. For the dataset, determine what type of chart or graph would best represent those data (A-D). Explain your reasoning in detail. Pie chart Line graph Bar graph Scatter plot Dataset II: Carolyn collected data on rates of recycling participation over the last eight years to determine whether her city’s education program has been effective. In 2006, before the education program was implemented, 9% of the city’s residents recycled. Her data follows: Year Participation Rate 2006 9% 2007 13% 2008 17% 2009 22% 2010 28% 2011 31% 2012 32% 2013 30% 2014 31% What type of figure would best represent these data in Dataset II? ________ Reasoning:
Use this dataset for your analysis software.Cost-to-charge ratio (the percentage of the amount billed that represents the actual cost) for inpatient and outpatient services at 11 Oregon hospitals is shown in the following table. A scatterplot of the data is also shown. Cost-to-Charge Ratio Hospital OutpatientCare InpatientCare 1 62 80 2 66 76 3 63 75 4 51 62 5 75 100 6 65 88 7 56 64 8 45 50 9 48 54 10 71 83 11 54 100 The least-squares regression line with y = inpatient cost-to-charge ratio and x = outpatient cost-to-charge ratio is = -1.1 + 1.29 x. (a) Is the observation for Hospital 11 an influential observation? Yes or No (b) Is the observation for Hospital 11 an outlier? Yes or No (c) Is the observation for Hospital 5 an influential observation? Yes or No (d) Is the observation for Hospital 5 an outlier? Yes or No
Using data from the U.S. Census Bureau, we will analyze the relationship between living below the poverty line and access to health care for a selected sample of 14 states. Use the percentage of the population without health insurance as the dependent variable to calculate the intercept and provide an interpretation of the intercept. Do include the value of the intercept in your answer. State % uninsured % below poverty line Arkansas 9.6 16.2 California 8.3 11.8 Florida 16.1 12.7 Indiana 9.7 11.9 Kentucky 6.7 16.3 New Jersey 9.2 8.7 New Mexico 11.5 18.2 New York 6.3 13.0 8.1 10.6 North Dakota 6.7 12.0 Pennsylvania 4.8 10.8 Rhode Island 19.9 13.6 Техas 7.5 9.8 Washington 6.5 10.4 Wisconsin Souce Amencan Community Survey 2019 Your answer W 99+
The variable "Gender" can be regarded as being, in general a. qualitative and ratio level b. quantitative C. qualitative and nominal level d. qualitative and ordinal level
Each year forbes ranks the world’s most valuable brands. A portion of the data for 82 ofthe brands in the 2013 forbes list is shown in Table 2.12 (forbes website, february, 2014).The data set includes the following variables:brand: The name of the brand.Industry: The type of industry associated with the brand, labeled Automotive& Luxury, Consumer Packaged Goods, financial Services, Other, Technology.brand Value ($ billions): A measure of the brand’s value in billions of dollarsdeveloped by forbes based on a variety of financial information about the brand.1-Yr Value Change (%): The percentage change in the value of the brand over theprevious year.brand Revenue ($ billions): The total revenue in billions of dollars for the brand.a. Prepare a crosstabulation of the data on Industry (rows) and brand Value ($ billions).Use classes of 0–10, 10–20, 20–30, 30–40, 40–50, and 50–60 for brand Value($ billions).b. Prepare a frequency distribution for the data on Industry.
What type of data (categorical, discrete numerical, continuous numerical) is each of the following variables? If there is any ambiguity about the data type, explain why the answer is unclear. Your college program. The number of college credits you have earned. Length of a TV commercial. The country with the most 2021 Olympic medals
Please complete the following question. Make sure you are responding to all parts of the question. The number of awards earned by students at one high school is recorded. Predictors of the number of awards earned include the type of program in which the student was enrolled (e.g., vocational, general or academic) and the score on their final exam in math. Variables Participant number (ID) Number of awards Program type (vocational - 1; general - 2; academic - 3 Math Score id num_awards prog math 45 1 3 41 108 1 1 41 15 1 3 44 67 1 3 42 153 1 3 40 51 1 1 42 164 1 3 46 133 1 3 40 2 1 3 33 53 1 3 46 1 1 3 40 128 0 2 38 16 1 3 44 106 1 3 37 89 1 3 40 134 1 1 39 19 1 1 43 145 0 3 38 11 1 2 45 117 0 3 39 109 1 1 42 12 1 3 45 37 1 3 40 69 0 3 40 43 1 2 43…
Kindly answer 1-2
The following table gives the2009 estimates of crude oil reserves(in billionsof barrels).. Please answer step by step.Don,t skip any part. ANswer follow image.Answer must be correct.Do all calculation and classify
A recent report stated that in 1990, there were approximately 9.7 million employment opportunities in a Science, Technology, Engineering or Mathematics (STEM) related field. There is a reported 17.3 million positions available in a STEM related field in 2019. What is the relative change in the number of STEM positions available from 1990 to 2019? A. 7.6% B. 56.1% C. 43.9% D. 78.4%
please answer in text form and in proper format answer with must explanation , calculation for each part and steps clearly

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS