You will use 'Admission_Predict.csv' for Assignment-3. This dataset includes the data of the applicants of an academic program. Each application has a unique serial number, which represents a particular student. The dataset contains several parameters which are considered important during the application for Masters Programs. The parameters included are :

GRE Scores (out of 340)

TOEFL Scores (out of 120)

University Rating (out of 5)

Statement of Purpose (SOP) (out of 5)

Letter of Recommendation (LOR) Strength (out of 5)

Undergraduate GPA (out of 10)

Research Experience (either 0 or 1)

Chance of Admit (ranging from 0 to 1)

Question 1

c) i- Find the covariance between the "GRE.Score" and the "Chance.of.Admit". (3 points)

ii- Print or plot the correlation matrix of the data and write down the correlations between the GRE.Score, TOEFL.Score, CGPA and the Chance.of.Admit. (3 points)

iii - Interpret the covariance and correlation results obtained from c(i) and c(ii) in terms of the strength and direction of the relationship. (4 points)

d)

Use ggplot() to plot the graphs to see the relationship between each of three variables (GRE.Score, TOEFL.Score, CGPA) with Chance.of.Admit. (8 points)