eed Rental property data Rental ($) Bedrooms Age Blocks 800 3 15 3 1300 2 11 3 1600 9 2.5 2500 18 2.5 2800 4 11 2.5 3300 4 10 2.5 3800 2 4700 2 6300 4 13 1.5 9100 4 0.5

Extracted text: eed Rental property data Rental ($) Bedrooms Age Blocks 800 3 15 3 1300 2 11 3 1600 9 2.5 2500 18 2.5 2800 4 11 2.5 3300 4 10 2.5 3800 2 4700 2 6300 4 13 1.5 9100 4 0.5


Extracted text: A realty company would like to develop a regression model to help it set weekly rentai rates for beach properties (y). The independent variables for this model are the number of bedrooms a property has (x). its age (x2), and the number of biocks away from the ocean it is (x). Use the accompanying data to complete parts a through e below. E Click the icon to view the rental property data. a) Using technology, construct a regression model using all three independent variables. -(8992 6) (295.6)x + (41.7) x2 + (-3146.3) x (Round to one decimal place as needed.) b) Test the significance of each independent variable using a= 0.05. Test the significance of x. Identify the null and alternative hypotheses. Ho: , = 0 H: B, 0 (Type integers or decimals.) Calculate the appropriate test statistic. The test statistic is 1.24 (Round to two decimal places as needed.) Determine the appropriate critical value(s) for a0.05. The critical value(s) is(are) (Round to two decimal places as needed. Use a comma to separate answers as needed.)