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50 23.5
74 38.0
103 46.4
118 48.0
Next, use the regression formula to estimate the values for yˆ (estimated
value of
y ) for x
i
= 16 and xˆ (estimated value of x ) for y
i
= 20.
In the REG Mode:
(Quad)
(CLR) (Scl) (Stat clear)
29 1 6 50 23 5 74 38 0 103 46 4 118
48 0
Regression Coefficient A = -35.59856934
(S-VAR) (A) -35.59856934
Regression Coefficient B = 1.495939413
(S-VAR) (B) 1.495939413
Regression Coefficient C = -6.71629667 × 10
-3
(S-VAR) (C) -6.71629667×10
-3
yˆ when x
i
is 16 = -13.38291067
16 (S-VAR) ( yˆ)
-13.38291067
xˆ
1
when y
i
is 20 = 47.14556728
20 (S-VAR) ( xˆ
1
)
47.14556728
x
ˆ
2
when y
i
is 20 = 175.5872105
20 (S-VAR) ( xˆ
2
)
175.5872105
Data Input Precautions
•
inputs the same data twice.
•
You can also input multiple entries of the same data using (;).
To input the data "20 and 30" five times, for example, press 20 30
(;) 5 .
• The above results can be obtained in any order, and not necessarily that
shown above.
50
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