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Questions -
Question 1 - Write a function in R to perform the linear regression. You are not allowed to use any linear regression specific functions or any package. Your function should take two inputs namely Y vector and the design matrix X. You need to apply your custom-built function on the following data:
n = 20
X1i = rnorm(n, 10, 2)
X2i = rbeta(n, 2, 3)
Y = -2 - 3*X1i + 4*X2i + rnorm(n)
Also, apply this function on the data data_for_problem_1.xlsx to predict PCB using THICKNESS. Perform the residual analysis to validate the working of your function.
Question 2 - Write a function from scratch which can perform the t-testing for any data (i.e. one-sample, two samples etc. ) in R. This function should mimic the base function t.test(). Use your function to perform t-testing on the following simulated data:
# simulate the data
xi1 = rnorm(20, 3, sqrt(9))
xi2 = 2*xi1
You are not allowed to use any R-package for these task.
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Caselet on McDonald’s vs. Burger King - Waiting time
Generate descriptive statistics. Create a stem-and-leaf plot of the data and box plot of the data.
Problems on Sampling Variability and Standard Error and Confidence Intervals
Estimate the population mean
Conduct a marketing experiment in which students are to taste one of two different brands of soft drink
Find out the probability
LINEAR PROGRAMMING MODELS
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