A taxi company charges a fixed fee of € and € for each kilometre travelled. The total cost, euros, of a journey of kilometres is modelled by
where .
Calculate the cost of a journey of kilometres.
Find the greatest distance that can be travelled for €.
Interpret the value in the context of the model.
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The intensity, , of light from a lamp varies inversely with the square of the distance, metres, from the lamp. The model has the form
At a distance of metres, the intensity is units.
Find the value of .
Find the intensity at a distance of metres.
State the effect on the intensity when the distance from the lamp is doubled.
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The depth, metres, of water in a harbour is modelled by
where is the number of hours after midnight and .
State the amplitude, period and equation of the principal axis of the model.
Find the maximum depth of the water.
Find the first time after midnight at which the maximum depth occurs.
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A ball is thrown upwards from a platform. Its height, metres, after seconds is modelled by
where .
Determine the maximum height reached by the ball and the time at which it is reached.
Find the time at which the ball first reaches the ground.
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The temperature, in degrees Celsius, of a drink minutes after it is placed in a room is modelled by
where .
State the horizontal asymptote of the graph of .
Calculate the temperature of the drink after minutes.
Find the time at which the temperature first reaches .
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The number of subscribers, , to an online service was recorded at times years.
Time, [years] | Subscribers, [subscribers] |
|---|---|
0 | 240 |
1 | 300 |
2 | 375 |
3 | 469 |
Justify why an exponential model is more appropriate than a linear model for these data.
Find an exponential model of the form for these data.
Use the model to predict the number of subscribers at the end of year .
State one reason why this prediction may be unreliable.
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The concentration, milligrams per litre, of a chemical in a tank is modelled by
where is measured in hours.
State the initial concentration and the long-term concentration predicted by the model.
Calculate the half-life of the concentration above its long-term value.
Find the concentration after two half-lives.
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The vertical displacement, metres, of a floating platform is modelled by
where is measured in seconds.
State the amplitude, period and phase shift of the model.
Find the maximum height of the platform and the first positive time at which this maximum occurs.
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The power, kilowatts, generated by a small wind turbine at wind speed metres per second is modelled by
where .
Calculate the power generated when .
Find the wind speed at which the turbine generates kilowatts.
Explain why any solution outside the interval should be rejected.
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The mass, grams, of leaves on a plant days after an experiment begins is modelled by
The measured masses are grams when , grams when , and grams when .
Find the values of , and .
Determine the maximum mass predicted by the model and the day on which it occurs.
The model predicts . Explain why the model should not be used to predict the mass on day .
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The sound level, decibels, produced by a machine operating at power kilowatts is modelled by
where . The sound level is decibels when and decibels when .
Find the values of and .
Find the power at which the predicted sound level is decibels.
State the domain restriction required by this model.
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The population, , of insects in a greenhouse is modelled by
where is the number of weeks after observations begin. Initially there are insects.
Find the value of .
State the carrying capacity of the greenhouse.
Find the time at which the population first reaches insects.
Explain why a logistic model may be more appropriate than an exponential model for this population.
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The cost, euros, of delivering a package a distance of kilometres is modelled by
The initial delivery charge is €, and the model is continuous at .
Find the value of .
Find the value of .
Calculate the cost of a delivery over a distance of kilometres.
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The number, thousands, of daily visits to a website was recorded over time. A best-fit straight line for a plot of against time days is
Determine an exponential model of the form .
Use the model to predict the number of daily visits when .
Calculate the doubling time predicted by the model.
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Data for positive variables and were analysed using three transformations. The following correlation coefficients were obtained:
For the second plot, the best-fit line is
The observed values of were between and .
Identify the most appropriate of the linear, exponential and power models. Justify your answer.
Use the best-fit line to predict when .
State why the prediction in part (b) should be treated with caution.
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A force newtons and speed metres per second are believed to satisfy a power model
A best-fit line for a plot of against is
Find the values of and , and hence write the power model.
Find the factor by which the force changes when the speed is multiplied by .
Find the speed at which the model predicts a force of newtons.
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An electric bicycle company charges according to the duration, minutes, for which a bicycle is hired. The cost, dollars, is modelled by
The cost model has no jump at . A competing company charges dollars for .
Calculate the cost of hiring a bicycle for minutes.
Find the value of .
Find the duration of a hire costing $15 under the model .
Determine the durations for which hiring from the electric bicycle company is cheaper than hiring from the competing company.
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The value, dollars, of a specialized camera years after purchase is modelled by
where , and . The camera initially costs $1320 and has a value of $780 after three years.
Find the value of .
Find the value of .
Calculate the predicted value of the camera after eight years.
linear model through the two given values predicts that the camera will be worth a negative amount after eight years. Explain why the exponential model is more reasonable for long-term use.
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On a particular wet road, the stopping distance, metres, of a car varies directly with the square of its speed, kilometres per hour. The model is
At , the stopping distance is m.
Find the value of .
State the factor by which the stopping distance changes when the speed is doubled.
Calculate the stopping distance predicted at .
driver needs the stopping distance to be no more than m. Determine the greatest speed predicted by the model and state one limitation of using this result.
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The cross-section of a decorative entrance is modelled by the quadratic function
where is the height in metres and is the horizontal distance in metres from the left-hand end. The curve passes through , and .

Write down the value of .
Find the values of and .
Determine the maximum height of the entrance and the horizontal position at which it occurs.
rectangular vehicle of height m is to pass centrally through the entrance. Find the greatest possible width of the vehicle.
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An open rectangular box is made from a cm by cm sheet of card by cutting squares of side cm from each corner and folding up the sides. The volume is modelled by
where .

Show that .
Calculate the volume when .
Use your GDC to determine the value of that gives the maximum volume, and find this maximum volume.
volume of exactly is required. Find all possible values of and explain why there are two possible box designs.
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The temperature, in degrees Celsius, inside a greenhouse is modelled over a repeating daily cycle. The variable is the number of hours after 15:00. The model is
The maximum temperature is at , the minimum temperature is , and the period is hours. Assume that .
Find the values of and .
Find the value of .
Find the temperature at 21:00.
During each cycle, ventilation is required whenever the temperature is above . Determine the total time for which ventilation is required.
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The yield, tonnes per hectare, of a crop is modelled by
where is the mass of fertilizer applied in hundreds of kilograms per hectare. Measurements give , and .
Write down the value of .
Find and .
Determine the fertilizer amount that maximizes the predicted yield, and state the maximum yield.
The measured fertilizer amounts were between and . The model predicts a negative yield when . Explain why this does not invalidate the model over the measured interval.
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The surface area, square metres, covered by a water plant was recorded every two days from day to day . The results are shown in the table.
/ days | / |
|---|---|
0 | 40 |
2 | 56 |
4 | 78.4 |
6 | 109.76 |
Justify why an exponential model is appropriate for these data.
Find an exponential model for in terms of , the time in days.
Determine when the model first predicts that the plant will cover .
survey on day found an actual area of . Calculate the model's prediction and comment on its accuracy.
State one reason why predictions far beyond day should be treated with caution.
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The count rate, counts per minute, from a sample is modelled by
where is measured in hours. The constant value represents background radiation. Initially the count rate is , and after six hours it is .
Find .
Find .
Calculate the half-life of the count rate above background radiation.
Determine when the total count rate first reaches counts per minute, and explain why the total count rate itself does not halve every half-life.
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The number of bird species, , observed in a protected region of area square kilometres is modelled by
A region of area contains species, while a region of area contains species.
Form two equations involving and .
Find and .
Determine the increase in the predicted number of species whenever the area is doubled.
Find the area for which the model predicts species, and comment on the reliability of this prediction.
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The charge, percent, of a battery during a rapid-charging process is modelled by
where is measured in minutes. The model is continuous at .
Find the charge predicted immediately before .
Find .
Determine when the battery first reaches charge.
Calculate the charge predicted after minutes. Explain why extending the first linear rule to would be inappropriate.
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A streaming company models the cumulative number of subscribers, , by
where is the number of months after launch and . At launch there are subscribers. After six months there are subscribers.

Find the value of .
Using the observation at six months, determine .
Calculate the number of subscribers predicted after months.
The subscriber population grows fastest when it reaches half its limiting value. Find when this occurs. If you did not obtain a value for , use .
For a logistic model , derive an expression for the time at which , where . Hence explain the effect on this time as approaches .
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The mass, grams, of a biodegradable coating remaining on an object was measured at different times. A linear regression of on time , measured in days, gives
The recorded times lie between and days.

Determine an exponential model of the form .
Interpret the values of and in context.
Calculate the half-life of the coating.
The measured mass on day is grams. Calculate the percentage by which this measurement exceeds the model prediction.
State two reasons why the day prediction should be treated cautiously.
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Engineers investigate how the heat-loss rate, kilowatts, from a building depends on wind speed, metres per second. The data were collected for . A regression of on gives

Explain why the regression supports a power model .
Determine and .
Find the factor by which the model predicts will change when the wind speed is doubled.
Determine the wind speed at which the predicted heat-loss rate is kilowatts.
Evaluate the reliability of this result.
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A factory models the daily cost, dollars, of producing units by
The cost model is continuous at both production thresholds.
Production interval | Daily cost / dollars |
|---|---|
Use continuity at and to form two equations in and .
Hence find and .
Calculate the cost of producing units and interpret the value of in context.
Find the smallest integer production level for which the daily cost is at least dollars.
Explain one advantage of this piecewise model over a single linear cost model.
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The yield, tonnes per hectare, of a crop is modelled in terms of fertilizer application, kilograms per hectare, by
Field trials give and .
Show that .
Find and , giving each value correct to three significant figures.
Determine the fertilizer application predicted to produce a yield of tonnes per hectare.
Find the increase in predicted yield when the fertilizer application is multiplied by .
Explain why the model exhibits diminishing increases in yield for equal additions of fertilizer, and state one contextual limitation.
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Radiation detected near a sealed storage unit is modelled by
where is measured in counts per minute and is measured in hours. The background radiation level is counts per minute. Initially, , and after hours, .

Find and .
Determine .
Calculate the half-life of the radiation level above background.
Determine the time at which the detected radiation reaches counts per minute, and hence state when it is below this level.
Find after two half-lives and explain why the total radiation level has not been divided by four.
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The tensile strength, megapascals, of a polymer is measured after thousand loading cycles. A regression of on gives
The data were collected for .

Determine an exponential model for in terms of .
Interpret the intercept of the transformed regression line.
Calculate the half-life of the tensile strength according to the model, giving your answer in loading cycles.
component must be replaced when its predicted strength first falls below MPa. Determine the corresponding number of loading cycles.
Explain why this replacement prediction may not be reliable.
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Hydrologists model river discharge, cubic metres per second, in terms of mean river depth, metres. For measurements with , a log-log regression gives

Determine a power model .
Interpret the exponent in terms of a percentage change.
Find the factor by which discharge changes when depth increases by .
Determine the depth at which the model predicts a discharge of cubic metres per second.
Evaluate whether this depth estimate should be used for flood planning.
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The number of daylight hours, , at a location is modelled sinusoidally, where is the day number of a -day year. The maximum daylight is hours on day , and the minimum daylight is hours.

Find the amplitude and principal-axis value.
Write down a suitable cosine model for .
Calculate the predicted number of daylight hours on day .
Determine the range of day numbers during which the model predicts more than hours of daylight.
State one reason why actual daylight measurements may differ from this model.
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The vertical position, metres, of a moving inspection platform is modelled by
where is measured in seconds and angles are measured in radians. The maximum height is m, the minimum height is m, and the platform crosses its principal axis moving upwards at and at the next such crossing, . Take and choose .
Find and , taking .
Find and .
During the cycle from to , determine the two times at which the platform is at height m.
Hence determine the length of time during this cycle for which the platform is above m.
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The number of users, , of a new regional transport card is modelled by
where is the number of months after its introduction and . Initially there are users, and after four months there are users.
Find .
Find .
Determine when the number of users first reaches of the carrying capacity.
Find the time at which the model's growth is fastest and interpret this point.
An exponential model fitted only to the first two observations is . Explain why the logistic model is more appropriate for long-term prediction.
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The mass, grams, of a biodegradable material was measured over time. A best-fit straight line for a plot of against time days is
The correlation coefficient for the transformed data is .

Find an exponential model for in the form .
Interpret the value in the transformed model.
Calculate the predicted mass after days. An observed mass at this time was g; find the residual, defined as observed minus predicted.
Determine when the predicted mass first reaches g, and state what the correlation coefficient suggests about the exponential model.
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The energy use, kilojoules per day, of an animal is believed to be related to its mass, kilograms, by a power model
A best-fit straight line for a plot of against is
The transformed data have correlation coefficient .
Find and .
Write down the resulting power model.
Determine the factor by which the predicted energy use changes when the animal's mass is multiplied by .
Find the mass for which the model predicts an energy use of kJ per day. Comment on whether the transformed data support the proposed power relationship.
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The speed, kilometres per hour, of a tidal current is assumed to vary sinusoidally over an -hour monitoring period. The maximum speed is kilometres per hour and the minimum speed is kilometres per hour. Successive maxima occur at and , where is measured in hours.

Find the amplitude, principal-axis value and period of the model.
Write down a suitable model in the form .
turbine operates only when the current speed exceeds kilometres per hour. Determine the intervals during when the turbine operates.
Calculate the total operating time during the monitoring period.
State one assumption of the sinusoidal model and explain how its failure could affect the operating-time prediction.
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An open rectangular box is made by cutting squares of side centimetres from each corner of a cm by cm sheet and folding up the sides. The volume is modelled by

State the contextual domain of .
Expand and find .
Determine the value of that maximizes the volume and find the maximum volume.
Find the range of values of for which the box has volume at least .
Explain why the largest algebraic root is rejected.
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A new product has users when it is released. After four months it has users. Two models are considered:
Here is measured in months, and is the estimated size of the potential market.

Determine for the exponential model.
Determine and for the logistic model.
Calculate the number of users predicted after months by each model.
Using the logistic model, find when the number of users reaches of the potential market. If you did not obtain , use .
Evaluate which model is more appropriate for long-term prediction.
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During a machine test, its internal temperature , in degrees Celsius, is modelled by
where is measured in minutes. The model is continuous.

Form two equations in and using continuity.
Hence find and .
warning light is active whenever . Determine the total time for which the warning light is active.
Interpret the value of the gradient in the final interval.
State one limitation of extending the final linear rule indefinitely.
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Positive variables and are measured in an experiment for . Three transformations produce the following correlation coefficients:
For the third plot, the best-fit line is

Identify the most appropriate model from linear, exponential and power models. Justify your answer.
Determine the corresponding model .
Use the model to predict when .
Find the constant factor by which changes when is doubled.
Give two reasons why the prediction in part (b) should be treated cautiously.
State why zero values could not be included in the log-log regression.
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The height, metres, of a young tree is modelled by
where is the number of years after planting and . The tree has height m after four years. For a larger set of trees, a best-fit line for a plot of against is
Using the single-tree model, find .
Determine when this model predicts that the tree will reach m.
Show that the model can be linearized in the form
Use the best-fit line to obtain a model for in the form .
Compare the two estimates of and evaluate whether the fitted model is consistent with the single-tree observation.
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A population of organisms in a controlled habitat satisfies
where is measured in weeks and . The corresponding logistic model has the form

Find .
Calculate the population after weeks.
State the long-term population predicted by the model.
Show that the maximum growth rate occurs when , and find this maximum rate.
Find the two population sizes for which the growth rate is organisms per week.
Determine the two times at which these growth rates occur. If you did not obtain the populations in part (c)(i), use and .
Explain why the same growth rate occurs at two different population sizes.
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A restoration project begins with hectares of established tree canopy. After three years, the canopy covers hectares. Two models are proposed:
and
where is measured in years. The value hectares is an estimated maximum area available for tree canopy.

Determine for the exponential model.
Determine and for the logistic model.
Determine when each model predicts that the canopy will first cover hectares.
Explain why the two predictions diverge despite both models fitting the two observations exactly.
Recommend one additional observation that would be useful for choosing between the models, and justify your answer.
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