Q3. The following data represents the body mass index (BMI) for different people at different age. Assume the relationship is linear answer the two following question: BMI Age 45.5 20.08 20.75 34.6 29.18 40.6 20.94 32.9 26.13 28.2 20.55 30.1 23.45 52.1 17.43 33.3 35.4 52.1 a) Fit a simple linear regression model with y BMI and x =age. Find an estimate of variance. (b) Find the fitted value of BMI corresponding to x= 30.1 and the associated residual. (c) Find the mean age corresponding to BMI of 20.

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.