Understanding a Correlation Coefficient Data
Each data pair shown is of the form below:
192000
X
Y
(years since purchase, value of car)
28000
Хо
X1
X2
24000
Based on the correlation coefficient, there is a(n)
decreasing = strong X linear correlation
between the data
X3
. X4
X 5
31000
29373
26810
22375
17290
14970
11453
20000
COMPLETE
X6
16000
X 7
10921
Use the regression equation to estimate the
value of the car 8 years after purchase. Round to
the nearest dollar. $ 10000 X = 6019
12000
COMPLETE
As more years go by, the prediction
(extrapolation) becomes ✓ less
Linear Regression
y-3223.31x + 31805.583; r -0.981
-0.7000 SXS 7.7
Window
8913.1 sy $ 33007..
reliable
Resize window
to fit data.