Mathematics, 19.12.2019 03:31, book0001
Case 4 – house price. a small data set contains information on house price (y) in dollars, as well as predictors: number of cars the garage can hold (x1), the age of the house in years (x2), and the number of rooms in the house (x3). consider the regression output below and determine the missing values a through f. dependent variable is: price r squared = r squared (adjusted) = 57.3% s = with 22 - 4 = 18 degrees of freedom source sum of squares df mean square f-ratio regression 6892069096 2297356365 residual 3975520758 18 220862264 variable coefficient s. e. of coeff t-ratio prob constant -26737.5 21074 -1.27 0.2207 cars 6185.10 6640 0.932 0.3639 age -333.303 757.8 rooms 11154.6 2524 4.42 0.0003
key:
(a) = 63.4%
(b) = 14861
(c) = 10.4
(d) = 3
(e) = –0.44
(f) = 0.66
Answers: 1
Mathematics, 21.06.2019 20:30, Courtneymorris19
Barney & noblet customers can choose to purchase a membership for $25 per year members receive 10% off all store purchases 1. how much would a member pay per year if he bought $50 worth of items each year? 2. write a slope-intercept equation that expresses how much a member pays per year using x to represent his purchases per year 3. how much would a member have to spend per year to pay off his membership fee?
Answers: 1
Mathematics, 21.06.2019 23:30, JellalFernandes
Atruck can be rented from company a $50 a day plus $0.60 per mile. company b charges $20 a day plus $0.80 per mile to rent the same truck. find the number of miles in a day at which the rental costs for company a and company b are the same
Answers: 1
Case 4 – house price. a small data set contains information on house price (y) in dollars, as well a...
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