Texas Instruments TI-36X Pro User Manual - Page 45

Regression example 1, Regression example 2

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This line of best fit, y'=0.67732519x'N18.66637321 models the linear trend of the data. Press $ until y' is highlighted. < 55 ) < The linear model gives an estimated braking distance of 18.59 meters for a vehicle traveling at 55 kph. Regression example 1 Calculate an ax+b linear regression for the following data: {1,2,3,4,5}; {5,8,11,14,17}. Clear all data v v $ $ $ Data Regression < 1 $ 2 $ 3 $ 4 $ 5 $ " 5 $ 8 $ 11 $ 14 $ 17 < %s % u $$$ < $$$$ < Press $ to examine all the result variables. Regression example 2 Calculate the exponential regression for the following data: 45

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45
This line of best fit,
y
'=0.67732519
x
'
N
18.66637321 models
the linear trend of the data.
The linear model gives an estimated braking distance of
18.59 meters for a vehicle traveling at 55 kph.
Regression example 1
Calculate an ax+b linear regression for the following data:
{1,2,3,4,5}; {5,8,11,14,17}.
Regression example 2
Calculate the exponential regression for the following data:
Press
$
until y' is highlighted.
<
55
)
<
Clear all data
v
v
$
$
$
Data
<
1
$
2
$
3
$
4
$
5
$
"
5
$
8
$
11
$
14
$
17
<
Regression
%s
%
u
$$$
<
$$$$
<
Press
$
to examine all
the result variables.