ANSWERS 723
bx=13: 6 , y=14: 6 c/d On the graph.
ei 21 km/h ii 31 km/h
3a
bThere is a strong, positive correlation between spray
concentrationandyield of strawberries.
cThis suggests that the higher the spray concentration, the
higher the yield of strawberries.
dy¼ 3 : 45 x+5: 71
ei 16 strawberries/plant ii 40 strawberries/plant
fAs 10 lies outside the data range, this involves extrapolation
and therefore may not be a reliable prediction.
4aThe width of the whorl is the dependent variable, the position
of the whorl is the independent variable.
b
cThere is a very strong, positive association between the
variables.
dw¼ 0 : 381 p+0: 336
e 5 : 67 cm Asp=14is outside the poles, this prediction
could be unreliable.
REVIEW SET 22B
1aThe independent variable isage. b No association exists.
cIt is not sensible to find it as the variables are not linearly
related.
2a
A linear model does seem appropriate.
bn=6: 5 , d=81: 2 c/d On the graph.
eAbout 210 diagnosed cases.
Very unreliable as is outside the poles. The medical team
have probably isolated those infected at this stage and there
could be a downturn which may be very significant.
3a
bR¼¡ 0 : 106 I+9: 25 c 4 : 48 per 1000 people
dE100 000gives a rate of¡ 1 : 35 which is meaningless,
i.e.,E100 000is outside the data range of this model.
eiI=25, R =7: 3 This goes against the trend of
decrease inRfor increase inI.
ii b R¼¡ 0 : 104 I+9: 08 c 4 : 4 per 1000 people
4a
bA moderate, positive association exists betweenxandV.
cV¼ 305 x¡ 3050 dollars
dThe points clearly lie on a curve and not on a straight line.
Also, when x=0,V¼¡ 3050 dollars.
eAs we cannot use the model inc, we need to draw a smooth
curve through the points and extend it tox=50.
A reasonable estimate is V ¼$28 000 (if the trend
continues).
EXERCISE 23A.1
1af(x)=x^3 ¡ 7 x+6 b f(x)=2x^3 +9x^2 +x¡ 12
cf(x)=2x^3 +3x^2 ¡ 12 x¡ 20
df(x)=x^3 +3x^2 +3x+3
2a
b
c
0
10
20
30
40
024 6810
x(ml/litre)
y(strawberries/plant)
0
1
2
3
4
02 46 810
p
w(cm)
0
50
100
150
0246 81012
n(days)
d
()nd,¡
200
250
14
0
2
4
6
8
10
0 20 40 60 80 100
I(€ ’000)
R
0
5000
10000
15000
20000
0 1020304050
V($)
x
0
5000
10000
15000
20000
0 1020304050
V($)
x
25000
30000
y
x
-1
6
23
@=(!+1)(!-2)(!-3)
O
@ = -2(! + 1)(! - 2)(! -Qw_)
y
-1 x
-2
Qw_ 2
O
@=Qw_!(!-4)(!+3)
y
x
-3 4
O
IB MYP_3 ANS
cyan magenta yellow black
(^05255075950525507595)
100 100
(^05255075950525507595)
100 100
Y:\HAESE\IGCSE01\IG01_an\723IB_IGC1_an.CDR Wednesday, 19 November 2008 4:34:32 PM PETER