Question

could you please run a two way anova test on SPSS? not on excel? and post the test of between subject effect table and could you also label the dependent and indepedent variable and do a post hoc test for the significant effects?

View Share Window Help Computer Assignment 3 - Edited Qo Collaborate Insert Table Chart Text Shape Media Comment Part 2 - two-way independent ANOVA A research study was conducted to examine the impact of eating a high protein breakfast on adolescents' performance during a physical education physical fitness test. Half of the subjects received a high protein breakfast and half were given a low protein breakfast. All of the adolescents, both junior students and senior students, were given a fitness test with high scores representing better performance. Test scores are recorded below. Group High Protein Low Protein Junior 5 10 7 9 6 8 5 4 7 4 5 5 4 6 Seniors 3 4 5 1 2 3 2. 1. What isare) the independent variable(s)? Eating a high protein breakfast. 2. What is the dependent variable? Adolescent's performance during a physical education physical fitness test 15 la dtv À MacBook Air

Answer 1

Dependent varaible Eating High Protein Break Fast

Independent variable Addolescent's performance during a phyaical eduation physical finess test

- х ta *Untitled2 [DataSet 1] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help A 14. TH Visible: 3 of 3 Variables EatingproteinBreakfast var var var var var var var var var var var 1 10 2 7 3 9 4 6 5 8 6 5 7 4 8 7 9 4 10 x1 x2 junior High Protein junior High Protein junior High Protein junior High Protein junior High Protein junior Low Protein junior Low Protein junior Low Protein junior Low Protein junior Low Protein Senior High Protein Senior High Protein Senior High Protein Senior High Protein Senior High Protein Senior Low Protein Senior Low Protein Senior Low Protein Senior Low Protein Senior Low Protein 5 5 11 4 12 13 6 14 3 2 15 16 17 3 4 18 5 19 1 20 2 21 22 23 Data View Variable View IBM SPSS Statistics Processor is ready Type here to search е Unicode:ON 05:07 A 4x ENG 16-05-2020

x Visible: 3 of 3 Variables var var var var var var var var 1 Univariate Model.. Contrasts. Dependent Variable: Eating Huigh Protein.. Fixed Factor(s) x2 x1 Plots... Post Hoc.. EM Means. Random Factor(s): ta *Untitled2 [DataSet 1] - IBM SPSS Statistics Data Editor File Edit View Data Transform Analyze Graphs Utilities Extensions Window Help Reports A 14 Descriptive Statistics Bayesian Statistics x1 x2 Tables var var var junior High Protein Compare Means 2 junior High Protein General Linear Model GLM Univariate... 3 junior High Protein Generalized Linear Models GM Multivariate... 4 junior High Protein Mixed Models He Repeated Measures... 5 junior High Protein Correlate 6 junior Low Protein Variance Components... Regression 7 junior Low Protein Loglinear 8 junior Low Protein Neural Networks 9 junior Low Protein Classify 10 junior Low Protein Dimension Reduction 11 Senior High Protein 12 Senior High Protein Scale 13 Senior High Protein Nonparametric Tests 14 Senior High Protein Forecasting 15 Senior High Protein Survival 16 Senior Low Protein Multiple Response 17 Senior Low Protein Missing Value Analysis... 18 Senior Low Protein Multiple Imputation 19 Senior Low Protein Complex Samples 20 Senior Low Protein Simulation... 21 Quality Control 22 Spatial and Temporal Modeling. 23 Direct Marketing Save. + Options. Bootstrap. Covariate(s): WLS Weight: OK Paste Reset Cancel Help Data View Variable View Univariate... IBM SPSS Statistics Processor is ready Unicode:ON 05:07 ^ (x ENG 16-05-2020 Type here to search g?

*Output5 [Document5) - IBM SPSS Statistics Viewer Х File Edit View Data Transform Insert Format Analyze Graphs Utilities Extensions Window Help TH /DESIGN=x2 xl x2*xl. → Univariate Analysis of Variance Between-Subjects Factors Value Label N x2 1.00 10 O E Output Log O E Univariate Analysis of Title Notes KO Warnings - Between-Subjects Tests of Between- Log E Univariate Analysis of Title - Notes K9 Warnings Between-Subjects Tests of Between- Log É & Univariate Analysis of Title Notes Between-Subjects Tests of Between- 2.00 High Protein Low Protein junior 10 x1 10 1.00 2.00 Senior 10 Sig. .000 .000 Tests of Between-Subjects Effects Dependent Variable: Eating High Protein Break Fast Type III Sum Source of Squares df Mean Square F Corrected Model 70.000 3 23.333 10.370 Intercept 500.000 500.000 222.222 x2 20.000 20.000 8.889 X1 45.000 45.000 20.000 x2 * x1 5.000 1 5.000 2.222 Error 36.000 16 2.250 Total 606.000 20 Corrected Total 106.000 19 a. R Squared = .660 (Adjusted R Squared = .597) 1 1 1 .009 .000 .155 1 IBM SPSS Statistics Processor is ready Unicode:ON Type here to search e A 4X ENG 05:13 16-05-2020
Warnings
Post hoc tests are not performed for x2 because there are fewer than three groups.
Post hoc tests are not performed for x1 because there are fewer than three groups.