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Boyle鈥檚 law If you have taken a chemistry class, then you are probably familiar with Boyle鈥檚 law: for gas in a confined space kept at a constant temperature, pressure times volume is a constant (in symbols, PV=k). Students collected the following data on pressure and volume using a syringe and a pressure probe.

(a) Make a reasonably accurate scatterplot of the data by hand using volume as the explanatory variable.

Describe what you see.

(b) If the true relationship between the pressure and volume of the gas is PV=k, we can divide both sides of this equation by Vto obtain the theoretical model P=k/V, or P=k(1/V). Use the graph below to identify the transformation that was used to linearize the curved pattern in part (a).

(c) Use the graph below to identify the transformation that was used to linearize the curved pattern in part (a).

Short Answer

Expert verified

a). Direction: Negative because the scatterplot slopes upwards.

Form: Curved, because the points do not lie in a straight line.

Strength: Strong, because all points lie very close together in the same pattern.

b). The used transformation is the reciprocal of the volume.

c). The used transformation is the reciprocal of the pressure.

Step by step solution

01

Part (a) Step 1: Given Information

02

Part (a) Step 2: Explanation

The scatterplot of the following data given in the question taking volume as the explanatory variable is as follows:

Thus, by looking at the scatterplot we can say that,

Direction: Negative, because the scatterplot slopes upwards.

Form: Curved, because the points do not lie in a straight line.

Strength: Strong, because all points lie very close together in the same pattern.

Thus, this is the conclusion.

03

Part (b) Step 3: Given Information

04

Part (b) Step 4: Explanation

The plot is given in the question for part (b) and also it is given the two options:

P=k1V

Or,1P=1kV

Thus, we note that the values on the horizontal axis are different from the value in the table for volume while the values on the vertical axis are the same values in the table for pressure. This then implies that the explanatory variable on the horizontal axis is the reciprocal of the volume and the response variable on the vertical axis is the pressure.

05

Part (c) Step 5: Given Information

06

Part (c) Step 6: Explanation

The plot is given in the question for part (c) and also it is given the two options:

P=k1V

Or,1P=1kV

Thus, we note that the values on the horizontal axis are the same as the values for the volume while the values on the vertical axis are higher than the values for the pressure given in the table. This then means that the explanatory variable on the horizontal axis is the volume and the response variable on the vertical axis is the reciprocal of the pressure. This then implies that the used transformation is the reciprocal of the pressure.

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Most popular questions from this chapter

Suppose that the relationship between a response variable y and an explanatory variable x is modelled by y=2.7(0.316)x. Which of the following scatterplots would approximately follow a straight line?

(a) A plot of y against x

(b) A plot of y against log x

(c) A plot of log y against x

(d) A plot of log y against log x

(e) None of (a) through (d)

Which of the following is not one of the conditions that must be satisfied in order to perform inference about the slope of a least-squares regression line? (a) For each value of x, the population of y-values is Normally distributed.

(b) The standard deviation of the population of y-values corresponding to a particular value of x is always the same, regardless of the specific value of x. (c) The sample size鈥攖hat is, the number of paired observations (x, y)鈥攅xceeds 30.

(d) There exists a straight line y=+xsuch that, for each value of x, the mean yof the corresponding population of y-values lies on that straight line.

(e) The data come from a random sample or a randomized experiment.

In a clinical trial 30, patients with a certain blood disease are randomly assigned to two groups. One group is then randomly assigned the currently marketed medicine, and the other group receives the experimental medicine. Each week, patients report to the clinic where blood tests are conducted. The lab technician is unaware of the kind of medicine the patient is taking, and the patient is also unaware of which medicine he or she has been given. This design can be described as

(a) a double-blind, completely randomized experiment, with the currently marketed medicine and the experimental medicine as the two treatments.

(b) a single-blind, completely randomized experiment, with the currently marketed medicine and the experimental medicine as the two treatments.

(c) a double-blind, matched pairs design, with the currently marketed medicine and the experimental medicine forming a pair.

(d) a double-blind, block design that is not a matched pairs design, with the currently marketed medicine and the experimental medicine as the two blocks.

(e) a double-blind, randomized observational study.

Two six-sided dice are rolled and the sum of the faces showing is recorded after each roll. Let X=the number of rolls required until a sum greater than 7is obtained. If 100trials are conducted, which of the following is most likely to be part of the probability distribution of X?

Ecologists look at data to learn about nature鈥檚 patterns. One pattern they have found relates the size of a carnivore (body mass in kilograms) to how many of those carnivores there are in an area. The right measure of 鈥渉ow many鈥 is to count carnivores per 10,000kilograms (kg) of their prey in the area. The table below gives data for 25carnivore species

Carnivore speciesBody mass(kg)Abundance(per 10,000 kg of prey)Least weasel0.141656.49Ermine0.16406.66Small Indian mongoose0.55514.84Pine marten1.331.84Kit fox2.0215.96Channel Island fox2.16145.94Arctic fox3.1921.63Red fox4.632.21Bobcat10.09.75Canadian lynx11.24.79European badger13.07.35Coyote13.011.65Ethiopian wolf14.52.70Eurasian lynx20.00.46Wild dog25.01.61Dhole25.00.81Snow leopard40.01.89Wolf46.00.62Leopard46.56.17Cheetah50.02.29Puma51.90.94Spotted hyena58.60.68Tiger182.03.40Polar bear310.00.33

Here is a scatterplot of the data.

(a) The following graphs show the results of two different transformations of the data. Would an exponential model or a power model provide a better description of the relationship between body mass and abundance? Justify your answer.

(b) Minitab output from a linear regression analysis on the transformed data of log(abundance) versus log(body mass) is shown below. Give the equation of the least-squares regression line. Be sure to define any variables you use.

PredictorCoefSE CoefTPConstant1.95030.134214.530.000log(body-1.048110.09802-10.690.000mass)

S=0.423352R-Sq=83.3%R-Sq(adj)=82.5%

(c) Use your model from part (b) to predict the abundance of black bears, which have a body mass of 92.5kilograms. Show your work.

(d) A residual plot for the linear regression in part (b) is shown below. Explain what this graph tells you about how well the model fits the data.

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