Question: 1. Please Perform ANOVA One-Factor Analysis by doing the following a. Organize the data and show in MS Excel (5 points); b. Write down one

1. Please Perform ANOVA One-Factor Analysis by doing the following a. Organize1. Please Perform ANOVA One-Factor Analysis by doing the following

a. Organize the data and show in MS Excel (5 points);

b. Write down one question that you could answers using ANOVA One Factor analysis with the Happiness_2011.xls dataset and state its null and alternate hypotheses (5 points);

c. Perform one ANOVA One-Factor analysis using two reasonable variables from the Happiness_2011.xls dataset (one quantitative variable and one qualitative group variable) and show the analysis results for the question (10 points);

d. Indicate whether you reject or accept the null hypothesis (5 points);

e. Interpret your findings from the analysis (5 points).

  1. Please Perform one Chi-square Test by doing the following (Hint: Chapter 15/17, Nonparametric Methods: Chi-Square):

a. Organize the data and show in MS Excel (5 points);

b. Write down one potential question that you could answers using Chi-square test with the Happiness_2011.xls dataset and state its null and alternate hypotheses (5 points);

c. Perform one Nonparametric Methods: Chi-Square Test using any two reasonable variables from the Happiness_2011.xls dataset (two qualitative variables) and show the analysis results for the question (10 points);

d. Indicate whether you reject or accept the null hypothesis (5 points);

e. Interpret your findings from the analysis (5 points).

  1. Please Perform regression analysis by doing the following (Hint: Chapter 13 on simple regression and 14 on multiple regression):

a. Organize the data and show in MS Excel (5 points);

b. Write down potential questions that you could answer using regression analysis for the Happiness_2011.xls dataset (5 points);

c. Perform one simple regression using any two reasonable variables from the Happiness_2011.xls file (two quantitative variables) and show the analysis results (10 points);

d. Interpret the findings from the simple regression analysis (5 points);

e. Add one or more quantitative variable (including dummy variable that have values of 0 and 1) to the analysis in #b, perform one multiple regression analysis (10 points)

f. Interpret your findings from the multiple regression analysis (5 points).

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Above Average 52 2 11 3 21 Married 1 2 Pretty Happy 3 Above Average 38 0 12 0 21 MeiTied 1 2 Pretty Happy 3 Above Average 2 1 14 Married 1 Very Happy 3 Above Average 15 2 19 3 20 Meitied 1 2 latty Happy 3 Above Average 33. 4 18 () 15) Martina 1 3 Very Happy 2 AVRIAGA 11 4 12 3 19 Maitled 1 2 Melly Happy 2 Averago 114 1 3 1 12 18 MAITIR 1 2 Pralty HAPPY 7 Average 67 2 11 3 19 Meitled 1 3 Very Happy 2 Average 445 2 12 33 19 MAITIR 1 3 Very Happy 2 Average 44 3 12 0 19 Married 1 2 Prilly Hry 2 Average 12 3 3 12 3 150 MAITI 1 2 Pralty HAPPY 2 Average LI 1B 23 20 Married 1 3 Very Happy 2 Avenge 44 3 115 3 AMATIRd 1 3 Very HAPPY 2 Average 57 12 13 Married 1 1 2 Prilly HINRY 2 Aviac 3. 3 115 0 X MAITING 1 3 Very Happy 2 Average 34 15 3 25 Married 1 2 Prally Happy 3 Abave/crage 24 0 14 3 12 Married 1 3 Very Happy 1 Below Avon 15 3 18 4 21 Married 1 3 Very Happy 3 Abave Average 08 2 1B 4 4 1 23 Married 2 Prully lappy 3 Above Avurugu 85 2 14 4 22 Married 1 3 Very Happy 3 Abave/crage 1 31 1 16 4 22 Married 1 3 Very limppy 3 Above Awuruge 14 2 15 4 4 25 Maria 1 2 Prelly Happy 3 Abav /wenge 55 3 12 4 18 Marind 1 2 Pratly I lappy 2 Average 2 11 4 19 Married 1 3 Vary Happy 2 Average 37 2 2 16 4 20 Marrid 1 3 Very lipp 2 Average 23 0 16 4 17 Married 1 2 Pretly Happy 1 Below Average 3 12 4 14 Married 1 2 Pratly I lappy 1 Del Avery 28 0 0 16 1 15 Married 1 1 Not loo Happy 1 Below Average 0 13 4 16 Married 1 3 Verylluppy 1 Blow Average 68 5 12 4 16 Menied 2 Prelly Happy 1 Below Average 333 2 14 4 12 Married 1 2 Prilly I Inppy 1 DowAverage Health 14 WRIS) Health (4 Invois) 2 Poarcell 2 Poor Health 2 Pocutilanthi 2 Poor Health 2 Poatlasili 2 Pour Health 2 Pearl lealth 2 Pour Health 2 Poar Hewith 2 Poullaith 2 Pear Hasith 2 Pouillealth 2 Poor Health 2 Poullaith 3 Healthy 3 Ilealthy 3 Hes.lry 31 litry 3 Healthy 3 Heality 3 Healthy 3 Heality 3 Heady 3 Heality 3 Houlthy 3 Heality 3 Houltry 3 Healthy 3 Hently 3 Heality 3 Heality 3 Heady 3 3 Healthy 3 Healthy 3 Heality 3 Healty 3 Hality 4 Very Healthy 4 Very Healthy 4 Very Healthy 4 Very Heality 4 Very I lohy 4 Very Heality 4 Very I leality 4 Very Healthy 4 Very I loathy 4 Very Heality 4 Very losity 4 Very Healthy 4 Very lealthy 4 Very Healthy 4 Very I lealthy 1 Very poor Health 2 Poallaith 2 Pour Health 2 Poctical 2 Pour Health 2 Poor Health 2 Pour Health 2 Poor Health 2 Pour Health 2 Poor Health 2 Pour Health 2 Poor Health 3 Heality 3 Heady 3 Heality 3 Healthy 3 Heality 3 Hendry 3 Heality 3 Heality 3 Heality 3 Healthy 3 Healty 3 Henity 3 Heality 3 litry 3 Heality 31 lealthy 3 Heality 3 Heality 4 Very Healthy 3 Healthy 4 Very Healthy 4 Very loudy 4 Very Healthy 4 Very I lowlthy 4 Very Hanity 4 Very lealthy 4 Very Healthy 4 Very I loudy 1 Very Healthy 4 Very I lealthy 4 Very Healthy 4 Vory Ilutty 4 Very Healthy 4 Very I lealthy

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