Date: xx/xx/2019                                                                                   Time: 1 hours, 15 mins

In a single Rfile or a single R markdownfile, name thefile as ‘GWID.R’ or ‘GWID.RMD’

1. Creating functions and plots [20 points]

Task_01: Write a function to counts the number of odd integers in vector

OR

Task_01: Use iris dataset and create a scatter plot between Sepal width ~ Sepal length

2. Loops: for-loop and while-loops, loop inside loop [20 points]

Task_01: Create a list that contains the following values: 10,24,100,56,49. Write a for-loop that only prints out the numbers which are larger than 50

OR

Task_01: Create a list that contains the following letters: d,a,t,a,s,c,i,e,n,c,e. Write a for-loop that only prints out the letters that are vowels (e.g., o,u,a,e,i)

3. Linear regression with interpretation [20 points]

Task_01: Read the file “Health.xlsx”. According to the World Health Organization, the health of an individual, to a large extent, is determined by factors such as income, education, genetics, and social connections. In a survey, 120 adults are asked how they rated their health (Health) and social connections (Social) on a scale of 1 to 100. Information is also gathered on their household income (Income, in $1,000s) and college education (College equals 1 if they have completed bachelor’s degree, 0 otherwise). The accompanying file contains relevant data.

•   Part a: Estimate and interpret a regression model for Health using Social, Income, and College as the predictor variables. Predict the health rating of a college-educated person given Social = 80 and Income = 100. What if the person is not college- educated?

•   b. Estimate and interpret an extended model that includes the interactions of Social with Income and Social with College. Predict the health rating of a college-educated person given Social = 80 and Income = 100. What if the person is not college-educated?

•   c. Explain which of the two models is preferred for making predictions.

4. Data Visualization using ggplot [20 points]

Task_01: Read  “Pandemic.csv”, Create a ggplot for COVID –  19 conditions (cases: new, death, recovered) for any one country of your choice, except Afghanistan

Anticipated Output:

Task_02: Read ‘wine.csv’, Plot box graph between 'sulphates' and 'quality' variables