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mm mm 1 man an win-1- 3mm Answer the following questions, using the above information. mm a 135mm 3391577 \"ml '1 1m 9351 i. Determine the dependent and independent variable of the QUESTION 3 B m, ,m P model. [1 5 marks] mm 2733: 3155: 7355: 0mm size was: 012w 61m: um Dependent variable: Realestate agents are often interested in the factors that predict the selling prices of houses. To study the relationship between the Independent variable: size of a house and the selling price, an agent collected data on 42 houses and obtained the following variables: ii. Based on the estimation results in the output, write down the Y = Selling price of the house (in hundreds of thousands) estimated regression model in the form: Price" = 190+ lSize X = The size of the house (in square meters). - - PriceA = A Simple regressmn model of the form: Price = [3n + [31Size + e D was estimated and an excerpt from the output is shown below. iii. Interpret the estimated intercept terrn (pg): Price 7\"] lm 5 son , ' I " '5 \"a" " ',_ Interpret the estimated slope coefcient (A). E am a 3 1\"\" v = 0.756;: . 27933 I ma 0 G 50 III) 15"] 20B ED am 350 MO 4541 House 5sz Inn-'2) iv. Using the pvalue from the output, test at the 5% signicance level that house size (X) has a signicantly positive effect on stan wawsm the price. madame nAsynoso serum um 55.153357 am"; .2 H03