A regression was run to determine if there is a relationship between hours of TVwatched per day (x) and number of situps a person can do (y)The results of the regression were:у-а+bxb-0.98a-20.878r2-0.678976r=-0.824Use this to predict the number of situps a person who watches 5.5 hours of TV cando.Round to one decimal place.

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Asked Nov 13, 2019
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How do find the answer on paper and the TI84

A regression was run to determine if there is a relationship between hours of TV
watched per day (x) and number of situps a person can do (y)
The results of the regression were:
у-а+bx
b-0.98
a-20.878
r2-0.678976
r=-0.824
Use this to predict the number of situps a person who watches 5.5 hours of TV can
do.
Round to one decimal place.
help_outline

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A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y) The results of the regression were: у-а+bx b-0.98 a-20.878 r2-0.678976 r=-0.824 Use this to predict the number of situps a person who watches 5.5 hours of TV can do. Round to one decimal place.

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Expert Answer

Step 1

Given data
y = a + bx
b = - 0.98
a = 20.878
r2 = 0.678976
r = -0.824
The least square regression equation is given by
y = a + bx
y = 20.878 + (-0.98) x
No of situps a person who watches 5.5 hours of tv is given by
putting x = 5.5 in least square regression equation
y = 20.878 + (-0.98) * 5.5
y = 15.488

Step 2

Using TI84 

...
TI-B3 Plus
TEXAS INSTRUMENTS
20.878-0.98*5.5
15.488
MATPLOT EST ta CIC
TLE
Y
WINDOR
TRACE
GRAPH
ZOOM
QUIT
IND
2nd
MODE
DEL
LIST
A-LOCK
LINK
X38n
ALPHA
STAT
ANGLE DRAW
DISTR
TEST
MATH
APPS
PRGM
VARS
CLEAR
MATRX SIN
x
COs
TAN
SIN
COS
TAN
10
LOG
L4
LD
LN
L1
LS
ACL
MEM
STO
CATA
ANS
OFF
ON
ENTER
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TI-B3 Plus TEXAS INSTRUMENTS 20.878-0.98*5.5 15.488 MATPLOT EST ta CIC TLE Y WINDOR TRACE GRAPH ZOOM QUIT IND 2nd MODE DEL LIST A-LOCK LINK X38n ALPHA STAT ANGLE DRAW DISTR TEST MATH APPS PRGM VARS CLEAR MATRX SIN x COs TAN SIN COS TAN 10 LOG L4 LD LN L1 LS ACL MEM STO CATA ANS OFF ON ENTER

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