Mathematics, 19.02.2020 04:58 aletadaboss
A regression analysis was done of residential property values in a city based on 157 properties. The independent variable used to predict the Sale Price (Y) is Square Footage (X). The estimated regression equation is: Y = 96,600 + 22.5X R-square = .77 Where Y= Sale Price X = Square Footage. Interpret the value of R-square.
A. 77% of the observed sale process will fall within two standard deviations from the least squares line.
B. We are 77% confident that Square Footage is linearly related to Sale Price (Y).
C. 77% of the variability in Sale Prices can be explained by Square Footage.
D. There is a moderately strong negative correlation between Sale Price and Square Footage.
Answers: 1
Mathematics, 21.06.2019 17:30, tristan4233
Noor brought 21 sheets of stickers. she gave 1/3 of a sheet to each of the 45 students at recess. she wants to give teachers 1 1/2 sheets each.
Answers: 2
Mathematics, 21.06.2019 20:00, lattimorekeonna1
Find the least common multiple of the expressions: 1. 3x^2, 6x - 18 2. 5x, 5x(x +2) 3. x^2 - 9, x + 3 4. x^2 - 3x - 10, x + 2 explain if possible
Answers: 1
Mathematics, 21.06.2019 22:30, izabelllreyes
Gabrielle's age is two times mikhail's age. the sum of their ages is 84. what is mikhail's age?
Answers: 2
A regression analysis was done of residential property values in a city based on 157 properties. The...
English, 27.06.2019 22:00
History, 27.06.2019 22:00
Mathematics, 27.06.2019 22:00
Mathematics, 27.06.2019 22:00
History, 27.06.2019 22:00