Answered: By letting the GDP (gross domestic… | bartleby

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

See similar textbooks

Related questions

Question

Years
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
Ethiopia (GDP) Germany (GDP)
7850809498.17 2078484517474.51
8623691300.04 2501640388482.35
10131187261.44 2814353869359.08
12401139453.97 2846864211175.10
15280861834.60 2994703642023.53
19707616772.80 3425578382921.58
27066912635.22 3745264093617.19
3411261212652.34
32437389116.04
29933790334.34 3399667820000.01
31952763089.33 3749314991050.59
3527143188785.16
43310721414.08
47648211133.22 3733804649549.03
55612228233.52 3889093051023.52
64589334978.80 3357585719351.56
74296618481.09 3469853463945.53
81770791970.98 3690849152517.65
84269348327.35 3974443355019.60
95912590628.14 3888226035921.56
107657734392.45 3889668895299.62
111271112329.98 4259934911821.64
By letting the GDP (gross domestic product) be the dependent variable (y), and the year (2002-2021) be the independent variable (x), answer
the following question:
Determine the correlation between the GDP and year and develop the estimated equation for Ethiopia and Germany. Refer to the summary
output of the two countries in the image attached below and interpret the coefficient for the independent variable. Determine whether the
regression model is significant at 1% significance level.

SUMMARY OUTPUT (Germany)
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Intercept
Regression Statistics
SUMMARY OUTPUT (Ethiopia)
ANOVA
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
Regression
Residual
Total
Intercept
Regression Statistics
0.845143244
0.714267104
0.697459286
2.48156E+11
2002
df
19
df
t Stat
P-value Lower 95%
Upper 95%
Lower 95.0% Upper 95.0%
-6.351346854 7.23515E-06 -1.76948E+14 -8.87032E+13 -1.76948E+14 -8.87032E+13
2002 67758187612 10394105434 6.518905166 5.25188E-06 45828542050 89687833173 45828542050 89687833173
Coefficients Standard Error
-1.32826E+14
2.0913E+13
0.980772659
0.961915008
0.959674714
6802516289
17
18 3.66385E+24
1
19
SS
MS
F
2.61697E+24 2.61697E+24 42.49612457
1.04688E+24 6.15813E+22
1
Significance F
5.25188E-06
SS
MS
F
Significance F
1.98688E+22 1.98688E+22 429.370057 1.67599E-13
7.86662E+20 4.62742E+19
17
18 2.06554E+22
Upper 95% Lower 95.0% Upper 95.0%
Coefficients Standard Error t Stat
P-value Lower 95%
-1.18287E+13 5.73273E+11 -20.63359563 1.79653E-13 -1.30382E+13 -1.06192E+13 -1.30382E+13 -1.06192E+13
5904022990 284926053.4 20.72124651 1.67599E-13 5302881564 6505164416 5302881564 6505164416

Expert Solution

Step by step

Solved in 3 steps

SEE SOLUTION Check out a sample Q&A here

Blurred answer

Similar questions

I just need help with the test statistic.
A certain polymer is used for evacuation systems for aircraft. It is important that the polymer be resistant tothe aging process. Fifty specimens of the polymer were used in an experiment. Twenty‐five were assignedrandomly to be exposed to an accelerated batch aging process that involved exposure to high temperatures for10 days. Question Which Treatment results in the higher mean tensile strength? (Circle One) Aging or No AgingWhich Treatment has the higher variability? (Circle One) Aging or No Aging
The FDA regulates that fish that is consumed is allowed to contain 1.0 mg/kg of mercury. In New Hampshire, bass fish were collected in 51 different lakes to measure the amount of mercury in the fish. Do the data provide enough evidence to show that the fish in New Hampshire lakes has more mercury than the allowable amount? State the Type 1 and Type Il errors in this case. State the Type I error. O Concluding that the mean amount of mercury in bass fish in New Hampshire is 1.0 mg/kg when it is less than 1.0 mg/kg. O Concluding that the mean amount of mercury in bass fish in New Hampshire is less than 1.0 mg/kg when it is 1.0 mg/kg. O Concluding that the mean amount of mercury in bass fish in New Hampshire is 1.0 mg/kg when it is more than 1.0 mg/kg. O Concluding that the mean amount of mercury in bass fish in New Hampshire is more than 1.0 mg/kg when it is 1.0 mg/kg. State the Type Il error. O Concluding that the mean amount of mercury in bass fish in New Hampshire is more than 1.0…
Review(10.6): Conplete the ANOVA table. SS df MS F-statistic Between/Treatments 245 3 Within/Error 20 Total 1215 (a) What is your calculated value for SS within? (b) What is your calculated value of MS Between? (c) Wat is your F value? Between/Treatment
Data for head injury measurements (in HIC, which is a standard head injury criterion) from samples of small, midsize, and large cars involved in the standard crash test were used to produce the accompanying ANOVA table. Using a 0.05 significance level, test the claim that the different size categories have the same mean head injury measurement. Does the size of a car appear to affect head injuries? ANOVA table Dialog content starts Sum of Squares df Mean Square F Sig. Between Groups 73630.272 2 36815.136 1.606 0.227 Within Groups 435546.443 19 22923.497 Total 509176.715 21 What are the hypotheses to test? H0: H1: The test statistic is (Round to two decimal places as needed.) The P-value is (Round to three decimal places as needed.) ___________H0. Since the P-value is__________than the significance level, there ___________sufficient evidence to refute the claim that the different size…
Arsenic is a compound that occurs naturally in very low concentrations. Arsenic blood concentrations in healthy individuals are Normally distributed with a mean of 3.2 mg/dl. Some areas of the United States have naturally elevated arsenic levels in the ground and water supplies. Researchers took a sample 20 water samples from a particular area and measured the arsenic levels in each of the 20 water samples. They want to determine if there is sufficient evidence to conclude that the arsenic level in that area is higher than 3.2 mg/dl. hypothesis test for one population mean (unknown population standard deviation) confidence interval estimate for one population mean (unknown population standard deviation) hypothesis test for population mean from paired differences confidence interval estimate for population mean from paired differences hypothesis test for difference in population means from two independent samples confidence interval estimate for difference in population means from two…
Sdfg
Warming and Ice Melt The average depth of theHudson Bay is 305 feet. Climatologists were interestedin seeing if the effects of warming and ice melt wereaffecting the water level. Fifty-five measurements overa period of weeks yielded a sample mean of 306.2 feet.The population variance is known to be 3.57. Can it beconcluded at the 0.05 level of significance that theaverage depth has increased? Is there evidence of whatcaused this to happen?
Arvey is conducted to explore stados son eplume 10 panculs, this survey phones, their view the importance of daily posting on social media, and also whether or University of Arkanas students A sample of 150 Wilon College of Business students were s the The Summary Statistics Table for students Daily Phone Usage Time in minutent is shown an below. Daily Phone Usage Time (in minutes) Mean Standard Error Median Mode Standard Deviation Sample Variance Kartosis Skewness Range Minimum Maximum Sum Count 190 7.37 1474 O a normal distribution O a positively skewed distribution 7 7 8143.65 -1.05 1.35 300 0 300 26150 150 the type of cell phones, many ph of well phones is less According to the sample statistics, the shape of this sample distribution of "Daily Phone Usage Time for these 150 students is likely to be O a uniform distribution O a negatively skewed distribution
Based on the SPSS output given below is the Intention to Purchase Branded Shoes, Brand Awareness, Brand Association, Brand Perception and Brand Loyalty on customers in Kangar, Perlis for the year 2018. Model Şummae Adjusted R. Square Mo Std. Error of the Durbin- del R R Square Estimate Watson 1 .218- .047 .036 1.08730 1.138 ANOVA Sum of Мodel Squares af Mean Square F Sg. Regression 18.972 4.743 4.012 .003- Residual 380.672 328 1.182 Total 399.645 329 Coeficiente Standardized Unstandardized Coefficients Coefficients Model B Std. Eror Beta Sig. (Constant) 2.7 .412 7.050 .000 Brand Awareness -107 .060 -101 -1.774 .077 Brand Association -.073 .054 -.077 -1.351 178 Brand Perception Brand Loyalty -11.228 5.552 -7.996 -2.022 .044 11.415 5.565 8.110 2.051 .041 Identify dependent and independent variables Develop a regression model to predict the Intention to Purchase Branded Shoes. Interpret the value of 2.902. Explains the value of R and Adjusted R Squared. Determine which independent…
Thompson & Thompson Inc. has decided to use an R-Chart to monitor the changes in the variability of their 0.33 inch metal shafts. The production manager randomly samples 8 metal shafts and measures the diameter of the sample (in inches) at 14 successive time periods. Period obs1 obs2 obs3 obs4 obs5 obs6 obs7 obs8 Sample Range1 0.33 0.34 0.37 0.28 0.31 0.31 0.30 0.35 0.092 0.35 0.38 0.37 0.36 0.33 0.30 0.36 0.28 0.103 0.32 0.36 0.33 0.37 0.33 0.34 0.30 0.36 0.074 0.36 0.33 0.29 0.37 0.32 0.35 0.30 0.38 0.095 0.38 0.34 0.31 0.35 0.29 0.30 0.38 0.37 0.096 0.38 0.33 0.30 0.36 0.37 0.36 0.29 0.32 0.097 0.31 0.29 0.32 0.35 0.38 0.37 0.29 0.33 0.098 0.36 0.34 0.38 0.29 0.34 0.34 0.35 0.36 0.099 0.33 0.36 0.31 0.34 0.29 0.35 0.30 0.31 0.0710 0.38 0.30 0.33 0.33 0.37 0.29 0.33 0.30 0.0911 0.38 0.33 0.35 0.32 0.34 0.28 0.31 0.31 0.1012 0.34 0.31 0.38 0.29 0.36 0.37 0.29 0.35 0.0913 0.32 0.32 0.33 0.31 0.28 0.33 0.36 0.36 0.0814 0.37 0.29 0.29 0.29 0.31 0.35 0.31 0.33 0.08 What is the Center…
Incidence reflects the likelihood of developing a disease among a group of participants free of the disease who are considered at risk of developing the disease over a specified observation period; prevalence involves estimating the proportion of people who have disease at a point in time. True False

SEE MORE QUESTIONS

Recommended textbooks for you

Glencoe Algebra 1, Student Edition, 9780079039897…

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

Glencoe Algebra 1, Student Edition, 9780079039897…

Glencoe Algebra 1, Student Edition, 9780079039897…

Algebra

ISBN:

9780079039897

Author:

Carter

Publisher:

McGraw Hill

SEE MORE TEXTBOOKS