# Data Collection Method and Instrument:

The research questionnaire contains questions regarding the demographics of the participants that will help us to develop frequency distribution. The nominal are added for the mere purposes of screening the participants as per their selection of mode of transport. The scale questions are adopted from our base paper and have been specifically designed to check the impact of these four variables on consumer intention. All the statements were based on Likert scale of 1 to 5 to test the significance and impact of one variable over another.

Moreover, survey questionnaire is attached in the appendix below. However, the data was included by using the values such as 1 for male and 2 for female and in this way, all the values have been given labeling in JMP which are shown in the data sets. Moreover, for other variables the data was merged and taken average which resulted in the average values from 1 to 5.

# Analysis Techniques:

The techniques which have been used for the analysis using the JMP software include linear Regression, Multiple RegressionCategorical variables analysis by using one-way ANOVA table, fit least square model, Factor Analysis, Clustering Analysis and multiple regression models. The detailed analysis ofresults has been discussed below:

## Confidence Intervals:

Confidence intervals for all the variables have been taken as 95% by assuming the alpha of 5%. The results of gender show that around 72% of the respondents are male and around 28% are female. The Age group results show that around 37% respondents are falling under the age brackets of 18-25, 45% fall under age bracket of 26-35, 14% fall under the age bracket of 36-45 and around 4% fall under the age bracket of 45 and above years. The occupation shows the results in a manner which consists of 34% of the respondents as students, 42% school workers, 13% housewives and around 11% respondents were businessmen.

Income shows that 19% of the respondents earn income less than 50,000, 34% respondents earn income around 50,000 to 100,000, 33% respondents earn income around 100,000 to 200,000 and around 13% of the respondents earn income of more than 200,000. Moreover, the education shows the least number of respondents have matriculation degree at around 2%, 23% respondents had intermediate, 51% of the respondents were graduate and 24%respondents were post-graduate.

## Chi-square testing:

After performing the confidence intervals testing, the data was analyzed by performing the Chi-square test. The results were generated by testing the mean and getting Pearson results for looking at the data by its proposed hypothesis. The results show that the p-values for all the categorical variables are showing p-values less than 5% which means that the null hypothesis in this case will be rejected and there lies the significant difference in customer intention to use the ride-hailing service on the basis of age, gender, education, occupation, and income.

The results are attached in JMP result file and are also shown in the appendix……………………………

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