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Statistics: Linear Regression
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Expression 6: "E" Subscript, "e" "r" "r" "o" "r" , Baseline equals total left parenthesis, StartAbsoluteValue, "y" Subscript, 1 , Baseline minus "f" left parenthesis, "x" Subscript, 1 , Baseline , right parenthesis , EndAbsoluteValue , right parenthesis
E
e
r
r
o
r
=
t
o
t
a
l
y
1
−
f
x
1
equals
=
4.8 7
4
.
8
7
6
Click the circle on the left below to display the line of best fit. How did you do?
Click the circle on the left below to display the line of best fit. How did you do?
7
Expression 8: "y" Subscript, 1 , Baseline tilde "m" "x" Subscript, 1 , Baseline plus "b"
y
1
~
m
x
1
+
b
8
Note: You can drag the individual points to change the dataset.
Note: You can drag the individual points to change the dataset.
9
"x" Subscript, 1 , Baseline
x
1
"y" Subscript, 1 , Baseline
y
1
1
1
1
1
2
2
3
3
3
3
2
2
3.5
3
.
5
5.1 7
5
.
1
7
5
5
7
7
6
6
7
7
10
Expression 11:
11
12
powered by
powered by
"x"
x
"y"
y
"a" squared
a
2
"a" Superscript, "b" , Baseline
a
b
7
7
8
8
9
9
over
÷
functions
(
(
)
)
less than
<
greater than
>
4
4
5
5
6
6
times
×
| "a" |
|
a
|
,
,
less than or equal to
≤
greater than or equal to
≥
1
1
2
2
3
3
negative
−
A B C
StartRoot, , EndRoot
pi
π
0
0
.
.
equals
=
positive
+
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