Data were collected on the age (in years) and price (in
thousands of dollars) of a random sample of 25 used Honda Civic.
A
scatterplot of the data (with regression line) and computer output
from a regression analysis are provided:
Pearson correlation of the age (in years) and price (in thousands
of dollars) = ?
P-Value =?
The regression equation is Price = 15.3 - 1.71 Age
Predictor Coef SE Coef T P
Constant 15.2912 0.5840
Age -1.7126 0.1264
S = 1.37179 R-Sq = 88.9% R-Sq(adj) = 88.4%
What is the R 2 for this mode?
Group of answer choices
26.18%
58.40%
94.3%
88.9%
From output R-square is 88.9% or 0.889. Since slope is negative so correlation coefficient will also negative. Pearson correlation of the age (in years) and price (in thousands of dollars) is
----------------------------------------------------------------
The R -square is
Get Answers For Free
Most questions answered within 1 hours.