"Correlation and Regression"Biddle and Hamermesh (1990) built a multiple regression model to study the tradeoff between time spent in sleeping and working and to look at other factors affecting sleep:Sleep = β0 + β1 totwrk + β2 educ + β3 age + εwhere sleep and totwrk (total work) are measured in minutes per week and educ and age are measured in years. Suppose the following equation is estimated:Sleep = 3500 – 0.15 totwrk – 11.20 educ + 2.29 age + εDiscuss what would happen to someone’s sleep if they choose to work more.As we can see that the coefficient of total work is negative thus more work means less sleep. The coefficient tells us that if the total work increases by 1 min per week the sleep decreases by 0.15 minute per week.Analyze whether the factors of totwrk, educ, and age are enough factors to explain the variation in sleep. Explain which additional factors should be explored in order to explain the variation in sleep. Provide your reasoning.There are many other causes which in general affect sleep. As for example stress level. And marital status is also expected to affect a person’s sleep as well. A person with higher stress