Jun thinks that an exponential model of the form may fit the data, his sister Lily thinks that a quadratic model of the form is a better fit for the data.
Wallace wants to model the path of some cylindrical cheeses as they roll down a hill. He measures the vertical distance from the bottom of the hill and the horizontal distance from the point at which the cheese was released at specific points on the path that the cheese takes. These measurements are recorded in the table below.
Horizontal Distance, (m)
0
1
2
3
4
5
6
7
8
Vertical Distance, (m)
8.00
7.47
6.08
4.19
2.23
0.23
0.00
0.29
1.46
a)
By first plotting a scatter diagram on your GDC, choose whether a sinusoidal model or a power model would be a better fit for the data.
A café in the UK begins selling ice creams on the 1st April each year and keeps track of their ice cream sales each month until they stop selling them at the end of October. The results from the year 2021 are shown in the table below.
Month
April
May
June
July
August
Sept
Oct
Sales
82
142
391
516
728
312
64
a)
Suggest a reason why the café owner may choose to use a quadratic function to model the monthly number of ice cream sales.
The café owner believes he may have miscalculated the ice cream sales in August. Use the model to find an estimate for the true number of sales of ice creams in August. Comment on the reliability of using the model in this context.
An ecologist is researching the connection between the mass of different species of rabbits and the spread of their population. She is looking at time taken for a population of 100 to increase to 1000 in four different species of rabbit. The table below shows the average mass of an adult male and the time, in months, for the population to reach 1000.
Rabbit Species
Brush Rabbit
Lionhead
Swamp Rabbit
English Lop
Average mass ()
0.7
1.2
2.1
5.2
Time (months)
7
8
11
24
The ecologist believes that the amount of time for a population to reach 1000 can be modelled by an exponential function of the form where T is the time in months, and m is the mass in kg.
a)
Using the exponential model, find the predicted time taken for each species to reach a population of 1000 and hence the sum of the squared residuals,, for the model.
As a unicorn moves through the sky its magical sparkling trail becomes more prominent and draws a crowd of elves out to see it. The unicorn flies up high into the sky for a short while, drops down to a height of just above the elves’ heads and then comes to its landing place on a cliff top 10 metres above ground level. The horizontal and vertical distances, in metres, of the sparkling trail from the base of the rock that the unicorn started from have been measured for several points and recorded in the table below.
10
20
30
40
50
60
53
82
116
95
3
10
a)
Find an appropriate cubic model and quartic model for the data, giving all coefficients correct to four significant figures.
Scientists are collecting information about oxygen levels and temperature in the ocean. They collect data from various different sites. The information is recorded in the table below.
Temperature at surface, (°C)
13.2
11.1
23.6
15.1
4.2
29.1
19.1
Dissolved Oxygen Content, (mgL-1)
9.1
10.9
8.7
9.0
13.6
8.1
8.8
a)
Use your graphic display calculator to
(i)
find an appropriate quadratic model and logarithmic model for the data,
(ii)
investigate whether a quadratic or a logarithmic model best fits the data, giving reasons for your answer.
Choosing the model from part (a) or (b) that you believe to fit the data best, find an estimate for the net profit gained by the company after 20 months.
A biologist is researching a connection between the mass of an animal, M kg, and its expected lifespan, L years. The biologist suggests that there exists a relationship of the form , where and are constants to be found.
a)
Show that the relationship can be rewritten using logarithms as
Using data from a wide range of animals, when is plotted against on a scatter diagram there seems to be a strong positive correlation. When the regression line of on is calculated, the equation is found to be .
b)
By relating the equation of the regression line to the equation found in (a), or otherwise, find the constants and correct to 2 decimal places where appropriate
A virologist is studying the growth rate of a particular type of virus when attached to a particular host cell. They record the number of cells of the virus and the time in minutes that has elapsed since the virus attached to the host cell. The results are recorded in the table below.
Time (hours)
0
1
2
3
4
5
Number of cells ()
1
22
604
11270
125242
1007518
The virologist wants to linearise the data. They take logarithms of the number of cells for and draw a semi-log graph of their calculated data.
a)
Draw a semi-log graph of the calculated data , against time, t, for .
Olivia is modelling a new bowl for her pottery shop. She models the outline of one side of the bowl on a 2D Cartesian coordinate grid and plans to rotate the design 360° about the y- axis. The coordinates Olivia uses to plot the cross-section are given in the table below.
Point
A
B
C
D
E
F
G
H
I
5
6
8
10
12
14
16
18
18
0
2
4
5
6
6
8
10
12
Point A is connected to the origin and point I is connected to the point with a straight, horizontal line.
a)
Olivia initially models all of the points using a cubic curve.
(i)
Find the equation of the least squares regression cubic curve for all nine points.
(ii)
Find the coefficient of determination for the cubic model.
(iii)
Explain why this model is not a good model for all of the points and state which points Olivia should use a different model for. Use mathematical reasoning to validate your argument.
Olivia decides instead to use two different linear models between points A and C and C and E and then use a quadratic model to connect points E, F, G, H and I. Find the equation of this quadratic model and write down a problem with using this model instead.