Bowling lab based on the pdf ive shared below but you cannot use victors. Beginner programBowling7.cpp// Header files for I/O and string#include <iostream>#include <iomanip>#include <fstream>#include <string>using namespace std;// declaration of functions sumArray() and printArray()// declaration of main programint main(){// 1) connect to the input fileifstream fin("bowling.txt");// declare arrays belowstring Team, Member;int Score;// 2) initialize array accumulators to zero// 3) display a descriptive messagecout << "This program reads the lines from the file bowling.txt to determine\n"<< "the winner of a bowling match.The winning team, members and scores\n"<< "are displayed on the monitor.\n";// 4) attempt to input the first line of the filefin >> Member >> Team >> Score;// 5) test ifstream.eof() conditionwhile (!fin.eof()){// 6) test team color is blue // 7) then store blue member and score// 8) increase blue array accumulator // 9) else store white member and score// 10) increase white array accumulator// 11) attempt to input next line from filefin >> Member >> Team >> Score;}// 12) if blue team score is larger// 13 then display blue team as winner with the team// 14) else display white team as winner with the team}// implement function sumArray() below/* 1. initialize accumulator to 02. loop over initialized array indices3. increase accumulator by indexed array element4. return accumulator*/// implement function printArray() below/* 1. displaythe team name as the winner2. loop over initialized array indices3. display member and score for that array index*/

See the posted sample SAS Examining Your Data program, HBAT-tabs dataset, and SAS Examining Your Data output, for the analysis of X1-Customer Type along with X6-Product Quality and X7-E-Commerce.Now perform a similar exploratory data analysis using X1-Customer Type as the Class Independent predictor variable and X8- Technical Support and X9- Complaint Resolution as the Dependent response variables, including assessment of basic descriptive statistics, normality, variance analysis and homoscedasticity / heteroscedasticity, relevant plots, and ANOVA analysis.Provide a brief 3/4-1 page summary along with the program and output as an appendix.