A study aims to empirically measure the distinctive characteristics of customers who did and did not order food through Online Food Delivery services (OFDs) during the COVID-19 outbreak in India. Data are collected from 462 OFDs customers. In the study, whether or not the respondents ordered food through online food delivery services (OFDs) during the COVID-19 outbreak was taken as the dependent variable (0- do not order; 1-ordered); Age of the respondents, frequency of purchase of OFDs before the nationwide lockdown, respondents' perceived threat about COVID-19 through OFDs, perceived benefits of OFDs and respondents' level of product involvement about OFDs were taken to be the predictor variables [1]. Some of the results of logistic regression are given below:

Predictor	Coefficient Estimate	Standard Error	Wald Test Statistic	p-value
Age	0.016	0.018		0.353
Purchase Frequency	0.447	0.048	87.639	0.000
Perceived Threat	-0.031	0.005	32.952	0.000
Perceived Benefit	0.275	0.138	3.974
Product Involvement	0.297	0.147	4.064	0.044

1. Find the p-value for "Perceived Benefit" coefficient. Is the estimate statistically significant when =5%? Show your work to get a full mark. (Do not use any software or p-value calculators) (5 points)

2. Find the Estimated odds ratio for "Purchase Frequency" and interpret withing the context. Show your work to get a full mark. (10 points)

3. Find the 95% Confidence interval for the odds ratio for "Purchase Frequency". Interpret within the context. Show your work to get a full mark. (10 points)