Part A All the output is generated based on the data set 'PSYC A331F Statistical Report File 1 answer the following questions 1. There are eight questions related to sense of community (ranged from 1-5, 1 low sense of belonging, 5 high sense of belonging) and five questions related to life satisfaction (ranged from 1-6, 1 = very dissatisfied, 6 = very satisfied) The average score of sense of community named as 'average sense of community (ASOC) and an average score of life satisfaction named as 'average life satisfaction (ALS) were computed and shown as below, write a short paragraph to report the descriptive statistics of both variables (ASOC & ALS) according to the age group (Variable: AgeGroup: 1 Young-old, 2 = Old-old) Descriptives AgeGroup Youngold Descriptve Statistics N Range s atist Statst ast Stac 8tasstc Nnmum Naumum Wean Std. Deviaton Varance Skewness Kurtasis Sta9 stc Statiss S. Emer Stat stic33. Emor Stat stic8d Emar 8tastc 8tastc 8tasto Statis 8ta1stcl ASOC ALS vaidNgstws 371 300 200 500 38191 45302 205 405 127 188 253 4629 371 560 140 7.00 1935 845 205 127 749 253 371 AgeGroup Youngold AgeGroup Oldold Descripve Satistics Mean S. Deviaton Varance Skewness N Range Nnmum Maimum Kartasis Staistc Statiss St. Eer Statstic S1d.Emor Stat gtc3 Emar Stast Stastic Staristn Stat sik 8tansto Statis ASOC ALS vaidNdistwisa 282 2.13 28B 5.00 3.9007 36501 133 173 145 1.105 28 282 520 180 7.00 48163 s0480 819 115 145 810 289 282 aAgeCroup Cidd 2. According to the output shown as follows, does health status (Variable: Health, = bad health, 5 excellent health) differ significantly across age ranged from 1-5, group? T-Test Gp Staics Sd Fn ManS Deon Sd Devaton дик Youngo N Msan Serated heal 04615 242 Old 22 23227 05192 pended Saps fest Livin's Teslfar Eqaay stfa EsorMa arnc 9%Candenrein efhe Dece Upper Man Once StdEnor Dence Lower 1 Sig aed F Sig Selrated health 1200 23 153 125 1088 Deses 2427 assunad Equl vaass net 10 524 187 128 DES4M 2423 nsumed 3. The partial correlation test among Health, ASOC and ALS while controlling gender and age is done and the output is shown as follows. Report the most significant correlation pair and comment on the strength of the relationship. Partial Corr Correlations Ser-ralad Control Variables hone haath ASOC ALS Age 0andar Self-rated heath Corelation 1000 137 334 048 -071 Signincance (2-taled D00 .000 218 069 d 651 651 651 651 ASOC Comralation 137 1.000 460 166 027 Signncance (2-taled 000 000 000 487 651 0 651 651 651 013 ALS Correlation 334 460 1.000 150 Signncance (2-aled) 000 D00 732 651 651 0 651 651 Correlation Age 048 166 150 1.000 069 Signincance (2taled 218 000 000 079 d 651 651 651 0 651 Gandar Comalation -071 .027 069 .013 1000 Signncance (2-taled 069 487 732 079 651 651 651 651 0 Self-rated heath Corelation Age & Genden 1000 151 347 Signncance (2-taled 000 000 d 649 649 ASOC Comaiation 151 1.000 447 Signcance (2-taled) 000 000 649 649 ALS Correlation 347 447 1.000 Signcance (2-taledy 000 000 d 649 649 0 a. Cells contain zero-order (Pears on) corelations. 4. A multiple regression analysis is run to determine whether ALS (criterion variable) can be predicted by (i) Age, (ii) Gender, (iii) Health and (iv) ASOC (predictor variables). The statistical output is shown as follows. Write a short paragraph to comment on the ANOVA table, then report the standard deviation changed in criterion variable by one mark increases in every statistically significant explanatory variable Regression Descriptive Statistics Mean Std Devtation N- ALS Age Gender 47100 91711 653 8.38303 72.7274 653 1,7764 41697 653 Self-rated health 653 2.3828 16B8 ASOC 38543 41895 653 Correlations Sef-rated ASOC ALS Age Gender health Pearson Correlation ALS 1000 150 -013 334 460 Аge 150 1.000 069 .048 166 Gender 013 069 1000 071 027 Self-ratad health 071 137 334 048 1.000 ASOC 460 166 027 137 1,000 Sig. (1-tailed ALS 000 366 000 000 Age 000 039 109 000 Gender 366 039 034 243 Self-ratad health 000 109 034 000 ASOC 000 000 243 000 N ALS 653 653 653 653 653 Age 653 653 653 653 653 Gender 653 653 653 653 653 Self-rated health 653 653 653 653 653 ASOC 653 653 653 653 653 Variables Entered Removed Variables Variables Entered Method Removed Model ASOC, 1 Gender, Self Enter rated health, Age a. Dependent Variable: ALS b. All requested variables entered Model Summary Std. Error of the Estimate Adjusted R Square R R Square Model 544 296 291 77205 a. Predictors: (Constant), ASOC, Gender, Self-rated health, Age ANOVA Sum of Mean Square Model Squares df Sig Regression 4 162.136 68.003 000 1 40.534 Residual 386.250 648 596 Total 548.385 652 a. Dependent Variable: ALS b. Predictors: (Constant), ASOC, Gender, Selfrated health, Age Coefficients Standardized Coefficients Unstandardized Coefficients 95.0% Cenfidence Interval for B В Std. Error Beta Lower Bound Upper Bound Sia Madel 1 (Constant 187 388 483 629 949 575 Age 011 004 096 2.868 004 018 003 Gender 005 073 002 071 943 138 149 Self-rated health 000 295 035 284 8.471 226 363 ASOC 000 887 074 405 11.972 741 1.032 a Dependent Variable: ALS
Part A All the output is generated based on the data set 'PSYC A331F Statistical Report File 1 answer the following questions 1. There are eight questions related to sense of community (ranged from 1-5, 1 low sense of belonging, 5 high sense of belonging) and five questions related to life satisfaction (ranged from 1-6, 1 = very dissatisfied, 6 = very satisfied) The average score of sense of community named as 'average sense of community (ASOC) and an average score of life satisfaction named as 'average life satisfaction (ALS) were computed and shown as below, write a short paragraph to report the descriptive statistics of both variables (ASOC & ALS) according to the age group (Variable: AgeGroup: 1 Young-old, 2 = Old-old) Descriptives AgeGroup Youngold Descriptve Statistics N Range s atist Statst ast Stac 8tasstc Nnmum Naumum Wean Std. Deviaton Varance Skewness Kurtasis Sta9 stc Statiss S. Emer Stat stic33. Emor Stat stic8d Emar 8tastc 8tastc 8tasto Statis 8ta1stcl ASOC ALS vaidNgstws 371 300 200 500 38191 45302 205 405 127 188 253 4629 371 560 140 7.00 1935 845 205 127 749 253 371 AgeGroup Youngold AgeGroup Oldold Descripve Satistics Mean S. Deviaton Varance Skewness N Range Nnmum Maimum Kartasis Staistc Statiss St. Eer Statstic S1d.Emor Stat gtc3 Emar Stast Stastic Staristn Stat sik 8tansto Statis ASOC ALS vaidNdistwisa 282 2.13 28B 5.00 3.9007 36501 133 173 145 1.105 28 282 520 180 7.00 48163 s0480 819 115 145 810 289 282 aAgeCroup Cidd 2. According to the output shown as follows, does health status (Variable: Health, = bad health, 5 excellent health) differ significantly across age ranged from 1-5, group? T-Test Gp Staics Sd Fn ManS Deon Sd Devaton дик Youngo N Msan Serated heal 04615 242 Old 22 23227 05192 pended Saps fest Livin's Teslfar Eqaay stfa EsorMa arnc 9%Candenrein efhe Dece Upper Man Once StdEnor Dence Lower 1 Sig aed F Sig Selrated health 1200 23 153 125 1088 Deses 2427 assunad Equl vaass net 10 524 187 128 DES4M 2423 nsumed 3. The partial correlation test among Health, ASOC and ALS while controlling gender and age is done and the output is shown as follows. Report the most significant correlation pair and comment on the strength of the relationship. Partial Corr Correlations Ser-ralad Control Variables hone haath ASOC ALS Age 0andar Self-rated heath Corelation 1000 137 334 048 -071 Signincance (2-taled D00 .000 218 069 d 651 651 651 651 ASOC Comralation 137 1.000 460 166 027 Signncance (2-taled 000 000 000 487 651 0 651 651 651 013 ALS Correlation 334 460 1.000 150 Signncance (2-aled) 000 D00 732 651 651 0 651 651 Correlation Age 048 166 150 1.000 069 Signincance (2taled 218 000 000 079 d 651 651 651 0 651 Gandar Comalation -071 .027 069 .013 1000 Signncance (2-taled 069 487 732 079 651 651 651 651 0 Self-rated heath Corelation Age & Genden 1000 151 347 Signncance (2-taled 000 000 d 649 649 ASOC Comaiation 151 1.000 447 Signcance (2-taled) 000 000 649 649 ALS Correlation 347 447 1.000 Signcance (2-taledy 000 000 d 649 649 0 a. Cells contain zero-order (Pears on) corelations. 4. A multiple regression analysis is run to determine whether ALS (criterion variable) can be predicted by (i) Age, (ii) Gender, (iii) Health and (iv) ASOC (predictor variables). The statistical output is shown as follows. Write a short paragraph to comment on the ANOVA table, then report the standard deviation changed in criterion variable by one mark increases in every statistically significant explanatory variable Regression Descriptive Statistics Mean Std Devtation N- ALS Age Gender 47100 91711 653 8.38303 72.7274 653 1,7764 41697 653 Self-rated health 653 2.3828 16B8 ASOC 38543 41895 653 Correlations Sef-rated ASOC ALS Age Gender health Pearson Correlation ALS 1000 150 -013 334 460 Аge 150 1.000 069 .048 166 Gender 013 069 1000 071 027 Self-ratad health 071 137 334 048 1.000 ASOC 460 166 027 137 1,000 Sig. (1-tailed ALS 000 366 000 000 Age 000 039 109 000 Gender 366 039 034 243 Self-ratad health 000 109 034 000 ASOC 000 000 243 000 N ALS 653 653 653 653 653 Age 653 653 653 653 653 Gender 653 653 653 653 653 Self-rated health 653 653 653 653 653 ASOC 653 653 653 653 653 Variables Entered Removed Variables Variables Entered Method Removed Model ASOC, 1 Gender, Self Enter rated health, Age a. Dependent Variable: ALS b. All requested variables entered Model Summary Std. Error of the Estimate Adjusted R Square R R Square Model 544 296 291 77205 a. Predictors: (Constant), ASOC, Gender, Self-rated health, Age ANOVA Sum of Mean Square Model Squares df Sig Regression 4 162.136 68.003 000 1 40.534 Residual 386.250 648 596 Total 548.385 652 a. Dependent Variable: ALS b. Predictors: (Constant), ASOC, Gender, Selfrated health, Age Coefficients Standardized Coefficients Unstandardized Coefficients 95.0% Cenfidence Interval for B В Std. Error Beta Lower Bound Upper Bound Sia Madel 1 (Constant 187 388 483 629 949 575 Age 011 004 096 2.868 004 018 003 Gender 005 073 002 071 943 138 149 Self-rated health 000 295 035 284 8.471 226 363 ASOC 000 887 074 405 11.972 741 1.032 a Dependent Variable: ALS
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps
Similar 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