QUESTION 1 1.1 Read the scenario below and answer the questions that follow. The Property Square Agency is trying to determine the average selling price per square metre and the size of accommodation for all residential properties in Margate, KwaZulu-Natal. Of the 235 residential property sales in the area recorded so far this year by their agents, The Property Square Agency has analysed 30 on the basis of deed of sale documents. Below are the details of three of the residential property sales that were recorded.: Selling price Size of accommodation in square metres R1 290 000 R895 000 1 167 1 060 R2 900 000 answer. 3 152 1.1.1 What is (are) the random variable/s of interest in this scenario? 1.1.2 What is the population of interest in this scenario? 1.1.3 What is the sample of interest in this scenario? 1.1.4 Explain the type of data collected for each random variable in this scenario. Indicate whether the data is qualitative or quantitative, and whether it is categorical or numerical. If the data is numerical, specify whether it is discrete or continuous. In addition, identify the measurement scale for each random variable. (8) R1 195 000 1 383 (2) Page 3 of 8 1.1.5 If the Property Square Agency were to determine the relationship between the selling price per square metre and the size of the accommodation, which variable would be identified as the independent variable and which variable as the dependent variable? Which graph will best represent the data collected in this scenario? Give reasons for your (3) (1) (1)​