Workings needed asap

Table 2. Lilliefors tests for normality. Dependent variable is "Change in BMI." Factor variable is Sex. Sex = Female Lilliefors (Kolmogorov-Smirnov) normality test data: Change.in.BMI D = 0.073632, p-value =0.7142 Sex = Male Lilliefors (Kolmogorov-Smirnov) normality test data: Change,in.BMI D = 0.04, p-value = 0.9555 Refer to Table 2. Given these statistics values, what is your statistical conclusion? Reject the null hypothesis for both Males and Females. O Accept the null hypothesis for both Males and Females. O Accept the null hypothesis for Females and reject the null for Males. O Reject the null hypothesis for Females and accept the null for Males.What is the standard link function for each of the following types of generalized linear model? Identity 1. Logistic regression 1 V Logit (log odds) 2. Poisson regression Log 3. Linear regression V(a) Give an example of a logistic regression model which would be an ap- propriate use of some (or all) of these variables. Explain why logistic regression is an appropriate choice. (b) Give an example of a Poisson regression model which would be an appropriate use of some (or all) of these variables. Explain why Poisson regression is an appropriate choice. 2. (10 points) (The Weak Law of Large Numbers) In order to estimate f, the true fraction of smokers in a large population, Alvin selects n people at random. His estimator M, is obtained by dividing S,, the number of smokers in his sample, by N, i.e., My = S,. Alvin chooses the sample size n to be the smallest possible number for which the Chebyshev inequality yields a guarantee that P(|Mn - f| 2 () 56. where c and o are some prespecified tolerances. Determine how the value of n recommended by the Chebyshev inequality changes in the following cases. (a) (5 points) The value of e is reduced to half its original value. (b) (5 points) The value of & is reduced to half its original value