TSTA602 - You as a Property Investor - Case Study - Accounting & Finance Assignment Help

Assignment Task

Scenario. You, as a property investor, are interested in understanding which factor (or factors) drives the prices of investment properties. A dataset is collected which
contains the prices (in thousand dollars, as denoted by apart price) for 50 onebedroom apartments in city X, their corresponding rents per week (in dollars, as denoted by rent) and the costs to hold each of these properties per week (in dollars, as denoted by cost of property). Following the procedures below to analyse the dataset ’assign2 data.csv’ by using Rstudio. Please only include relevant outputs from Rstudio in your solution and attach the R codes as appendice (2 marks for attach R codes).

(a). Import the data into Rstudio, draw two scatter plots: apart price versus rent and apart price versus cost.

(b). Fit the following two linear models:
Model 1: apart price = b0 + b1 × rent
Model 2: apart price = c0 + c1 × cost
Write down the equations of the two models with correct coefficients.

(c). Written down the p-values from the output of your R codes. Comment on the significance of all coefficients obtained from (b) based on the pvalues (from the outputs of Rtudio). The significance level is 0.05.

(d). Produce residual plots for each model in (b), comment on each plot.

(e). Produce normal qq plots for each model in (b), and comment on each pl

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