A realty company would like to develop a regression model to help it set weekly rental rates for beach properties (y). The independent variables for this model are parts a through e below. the number of bedrooms a property has (x1 ) , its age (X2) , and the number of blocks away from the ocean it is (X3) . Use the accompanying data to complete Click the icon to view the rental property data. a) Using technology, construct a regression model using all three independent variables. y = ( 8992.6 ) + (295.6 ) x1 + ( 41.7 ) x2 + (-3146.3 ) x3 (Round to one decimal place as needed.) b) Test the significance of each independent variable using a = 0.05. Test the significance of x1 . Identify the null and alternative hypotheses. Ho: B1 = 0 H 1 : B1 # 0 (Type integers or decimals.) Calculate the appropriate test statistic The test statistic is 1.24. Rental property data (Round to two decimal places as need Determine the appropriate critical valu Rental ($) Bedrooms Age Blocks 800 15 3 The critical value(s) is(are). 1300 11 3 (Round to two decimal places as need 1600 2.5 A W W N W 2500 18 2.5 2800 2. 3300 2.5 3800 2 UIDOAA. 4700 5 2 6300 13 1.5 0.5 9100 Print Done