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.

multiply then divide

step-by-step explanation:

the above table 1 will calculate the population size (n) after a certain length of time (t). all you need to do is plug in the initial population number (no), the growth rate (r) and the length of time (t). the constant (e) is already entered into the equation. it stands for the base of the natural logarithms (approximately 2.71828). growth rate (r) and time (t) must be expressed in the same unit of time, such as years, days, hours or minutes. for humans, population growth rate is based on one year. if a population of people grew from 1000 to 1040 in one year, then the percent increase or annual growth rate is 40/1000 x 100 = 4 percent.

step-by-step explanation: