Q3. SPSS results of multiple regression model from a dataset for prices of 40 flats (in thousand dollars) are provided below for independent variables SquareFeet (size of flat in hundred square feet), Close2Uni (nearby a university =1 and not nearby =0), Pool (has a pool = 1, no pool =0), and AgeFlat (age of flat in years). Coefficients Model Unstandardized Standardized Sig. Coefficients Coefficients B Std. Error Beta (Constant) 136.707 42.595 3.209 003 SquareFeet 3.628 1.516 361 2.394 022 Close2Uni 24.394 5.294 333 4.608 000 Pool -5.283 3.986 -.077 -1.326 . 194 AgeFlat -4.103 1.317 -.388 -3.116 004 a. Dependent Variable: Price(a) Find a 95% confidence interval for coefficient of "Pool" and interpret your result 2+1 (b) Predict the price of a 2000 square feet flat that is 4 years old, close to the university, and 1 does not have any pool. (c) Write the hypothesis, calculate the p-value and make the decision to test at 5% level of 1+2+1 significance that the co-efficient of Close2Uni is negative