Perform two MANOVA analyses, a3-Group analysisand aFactorial Designwith 2-Independent variables as...

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Perform two MANOVA analyses, a3-Group analysisand aFactorial Designwith 2-Independent variables as directed below on the HATCO dataset.Include the following:		Perform a brief exploratory data analysis of the data and evaluate the tenability of the multivariate data analysis assumptions and specifically those associated with MANOVA (Note: only need to assess univariate assumptions).		State ALL Null and Alternative Hypotheses. Use an alpha of 0.05 for all hypothesis testing and/or specify an alternative value as necessary.		3-Group Model: X9 X10 = X14; including appropriate Multiple Means Comparisons Tests (e.g., Tukey and Scheffe)		Factorial Design Model: X9 X10 = X14 X13 X14*X13		Fully discuss and interpret all the analyses, results and conclusions.				Provide a brief 2-3 page management summaryincluding key selected results along with the SAS program and output as an appendix.Note (Important) - This is the original question. I am done with the SAS program as well as the output. Attached are their files. All i need is a 3 page management summary of manova. A sample management summary is also attached.			Again, I just need the management summary. Take help from the program and output.*; *; * HATCO - MANOVA Analyses; *; ods graphics on; *; options ls=80 ps=50 nodate pageno=1; *; *; * Input HATCO; *; Data HATCO; Infile '\apporto.com\dfs\STVN\Users\asingh92_stvn\Documents\MANOVA\HATCO_X1-X14_Tabs.txt' DLM = '09'X TRUNCOVER; Input X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14; *; Data HATCO; Set HATCO (Keep = X9 X10 X13 X14); Label X9 = 'X9 - Usage Level' X10 = 'X10 - Satisfaction Level' X13 = 'X13 - Type of industry' X14 = 'X14 - Type of buying situation'; *; Proc Print Data = HATCO; Run; *; *; * Exploratory Data Analysis - Univariate ; *; Proc Univariate Data = HATCO Normal Plot; Var X9 X10; Run; *; Proc Sort Data = HATCO; By X14; Run; *; Proc Univariate Data = HATCO Normal Plot; Var X9 X10; By X14; ID X14; Run; *; *; * GLM MANOVA Analysis: 3-Group Model; *; Proc GLM Data = HATCO; Class X14; Model X9 X10 = X14; Means X14 / Scheffe Tukey LSD SNK Duncan; Means X14 / Hovtest = Levene Hovtest = bf Hovtest = Bartlett; Means X14; Manova H = X14 / MStat = Exact; Run; *; *; * GLM MANOVA Analysis - Factorial Design Model; *; Proc GLM Data = HATCO; Class X14 X13; Model X9 X10 = X14 X13 X14*X13; Means X14 X13 X14*X13; Manova H = X14 X13 X14*X13 / MStat = Exact; Run; *; *; Run; Quit;   file:///C:/Users/asingh92_stvn/AppData/Local/Temp/2/SAS%20Tempo The SAS System Obs X9 X10 X13 X14 1 4.2 1 1 . 2 4.3 0 1 . 3 5.2 0 2 . 4 3.9 0 1 . 5 6.8 1 3 . 6 4.4 0 2 . 7 5.8 1 1 . 8 4.3 0 2 . 9 5.4 1 3 . 10 5.4 0 2 . 11 4.3 1 1 . 12 5.0 1 2 . 13 4.4 0 1 . 14 5.0 1 1 . 15 5.9 1 3 . 16 4.7 1 3 . 17 4.4 1 2 . 18 5.6 1 2 . 19 5.9 1 3 . 20 6.0 1 3 . 21 4.5 1 2 . 22 3.3 1 1 . 23 5.2 1 3 . 24 3.7 0 1 . 25 4.9 1 2 . 26 5.9 1 3 . 27 3.7 0 1 . 28 5.8 1 3 . 29 5.4 1 3 . 30 5.1 0 2 . 31 3.3 0 1 . 32 5.0 1 3 . Page 1 of 99SAS Output 12/10/2022file:///C:/Users/asingh92_stvn/AppData/Local/Temp/2/SAS%20Temporary%20Files/_T... 33 6.1 1 3 . 34 3.8 0 1 . 35 4.1 0 1 . 36 3.6 0 1 . 37 4.8 0 2 . 38 5.1 1 3 . 39 3.9 0 1 . 40 3.3 0 1 . 41 3.7 0 1 . 42 6.7 1 3 . 43 5.9 1 3 . 44 4.8 1 2 . 45 3.2 0 1 . 46 6.0 1 3 . 47 4.9 1 3 . 48 4.7 0 2 . 49 4.9 1 3 . 50 3.8 1 3 . 51 5.0 1 2 . 52 5.2 0 2 . 53 5.5 0 2 . 54 3.7 0 1 . 55 3.7 1 1 . 56 4.2 1 2 . 57 6.2 0 2 . 58 6.0 1 3 . 59 5.6 1 3 . 60 5.0 0 2 . 61 4.8 1 3 . 62 6.1 1 3 . 63 5.3 1 3 . 64 4.2 1 2 . 65 3.4 0 1 . 66 4.9 1 2 . 67 6.0 1 3 . Page 2 of 99SAS Output 12/10/2022file:///C:/Users/asingh92_stvn/AppData/Local/Temp/2/SAS%20Temporary%20Files/_T... 4.5 0 2 . 69 4.3 1 3 . 70 4.8 0 2 . 71 5.4 0 2 . 72 3.9 1 3 . 73 4.9 1 3 . 74 5.1 1 3 . 75 4.1 0 1 . 76 5.2 1 2 . 77 5.1 1 2 . 78 5.1 1 3 . 79 3.3 0 1 . 80 5.1 1 3 . 81 4.5 1 3 . 82 5.6 1 2 . 83 4.1 0 1 . 84 4.4 1 1 . 85 5.6 0 2 . 86 3.7 0 1 . 87 5.5 0 2 . 88 4.3 1 1 . 89 4.0 0 1 . 90 6.1 1 3 . 91 4.4 1 2 . 92 5.5 1 2 . 93 5.2 1 2 . 94 3.6 0 1 . 95 4.0 1 1 . 96 3.4 0 1 . 97 5.2 1 3 . 98 3.7 0 1 . 99 4.3 0 1 . 100 4.4 1 1 . Page 3 of 99SAS Output 12/10/2022file:///C:/Users/asingh92_stvn/AppData/Local/Temp/2/SAS%20Temporary%20Files/_T... The UNIVARIATE Procedure Variable: X9 (X9 - Usage Level) The SAS System Moments N 100 Sum Weights 100 Mean 4.771 Sum Observations 477.1 Std Deviation 0.85555759 Variance 0.73197879 Skewness 0.08940227 Kurtosis -0.7627554 Uncorrected SS 2348.71 Corrected SS 72.4659 Coeff Variation 17.9324584 Std Error Mean 0.08555576 Basic Statistical Measures Location Variability Mean 4.771000 Std Deviation 0.85556 Median 4.850000 Variance 0.73198 Mode 3.700000 Range 3.60000 Interquartile Range 1.30000 Tests for Location: Mu0=0 Test Statistic p Value Student's t t 55.7648 Pr > |t| = |M| = |S|  D 0.1408 Cramer-von Mises W-Sq 0.090496 Pr > W-Sq 0.1503 Anderson-Darling A-Sq 0.608237 Pr > A-Sq 0.1129 Quantiles (Definition 5) Level Quantile 100% Max 6.80 99% 6.75 Page 4 of 99SAS Output 12/10/2022file:///C:/Users/asingh92_stvn/AppData/Local/Temp/2/SAS%20Temporary%20Files/_T... 95% 6.10 90% 5.95 75% Q3 5.40 50% Median 4.85 25% Q1 4.10 10% 3.70 5% 3.35 1% 3.25 0% Min 3.20 Extreme Observations Lowest Highest Value Obs Value Obs 3.2 45 6.1 62 3.3 79 6.1 90 3.3 40 6.2 57 3.3 31 6.7 42 3.3 22 6.8 5 Page 5 of 99SAS Output 12/10/2022file:///C:/Users/asingh92_stvn/AppData/Local/Temp/2/SAS%20Temporary%20Files/_T... Page 6 of 99SAS Output 12/10/2022file:///C:/Users/asingh92_stvn/AppData/Local/Temp/2/SAS%20Temporary%20Files/_T... The UNIVARIATE Procedure Variable: X10 (X10 - Satisfaction Level) The SAS System Moments N 100 Sum Weights 100 Mean 0.6 Sum Observations 60 Std Deviation 0.49236596 Variance 0.24242424 Skewness -0.4144918 Kurtosis -1.8659268 Uncorrected SS 60 Corrected SS 24 Coeff Variation 82.060994 Std Error Mean 0.0492366 Basic Statistical Measures Location Variability Mean 0.600000 Std Deviation 0.49237 Median 1.000000 Variance 0.24242 Mode 1.000000 Range 1.00000 Interquartile Range 1.00000 Tests for Location: Mu0=0 Test Statistic p Value Student's t t 12.18606 Pr > |t| = |M| = |S|  D  W-Sq  A-Sq  |t| = |M| = |S|  D 0.1408 Cramer-von Mises W-Sq 0.090496 Pr > W-Sq 0.1503 Anderson-Darling A-Sq 0.608237 Pr > A-Sq 0.1129 Quantiles (Definition 5) Level Quantile 100% Max 6.80 Page 10 of 99SAS Output 12/10/2022file:///C:/Users/asingh92_stvn/AppData/Local/Temp/2/SAS%20Temporary%20Files/_T... 99% 6.75 95% 6.10 90% 5.95 75% Q3 5.40 50% Median 4.85 25% Q1 4.10 10% 3.70 5% 3.35 1% 3.25 0% Min 3.20 Extreme Observations Lowest Highest Value X14 Obs Value X14 Obs 3.2 . 45 6.1 . 62 3.3 . 79 6.1 . 90 3.3 . 40 6.2 . 57 3.3 . 31 6.7 . 42 3.3 . 22 6.8 . 5 Page 11 of 99SAS Output 12/10/2022file:///C:/Users/asingh92_stvn/AppData/Local/Temp/2/SAS%20Temporary%20Files/_T... Page 12 of 99SAS Output 12/10/2022file:///C:/Users/asingh92_stvn/AppData/Local/Temp/2/SAS%20Temporary%20Files/_T... The UNIVARIATE Procedure Variable: X10 (X10 - Satisfaction Level) X14 - Type of buying situation=. The SAS System Moments N 100 Sum Weights 100 Mean 0.6 Sum Observations 60 Std Deviation 0.49236596 Variance 0.24242424 Skewness -0.4144918 Kurtosis -1.8659268 Uncorrected SS 60 Corrected SS 24 Coeff Variation 82.060994 Std Error Mean 0.0492366 Basic Statistical Measures Location Variability Mean 0.600000 Std Deviation 0.49237 Median 1.000000 Variance 0.24242 Mode 1.000000 Range 1.00000 Interquartile Range 1.00000 Tests for Location: Mu0=0 Test Statistic p Value Student's t t 12.18606 Pr > |t| = |M| = |S|  D  W-Sq  A-Sq

Perform two MANOVA analyses, a3-Group analysisand aFactorial Designwith 2-Independent variables as directed below on the HATCO dataset.Include the following:Perform a brief exploratory data analysis...

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