Refrigerator prices are affected by characteristics such as whether or not the refrigerator is on sale, whether or not it is listed as a Sub-Zero brand, the number of doors (one door or two doors), and the placement of the freezer compartment (top, side, or bottom). The table below shows the regression output from a regression model using the natural log of price as the dependent variable. The model was developed by the Bureau of Labor Statistics. (a) Write the regression model, being careful to exclude the base indicator variable. (b) Find the p-value for each coefficient, using 319 degrees of freedom. Using an $\alpha=.01$, which predictor variable(s) are not significant predictors? (c) By how much does the natural log of refrigerator price decrease from a two door, side freezer model to a two door, top freezer model? (d) Which model demands a higher price: the side freezer or the one door with freezer model?

$$\begin{array}{lccr} \hline \text { Variable } & \text { Coefficient } & \text { Standard Error } & \boldsymbol{t} \text { Statistic } \\ \hline \text { Intercept } & 5.484092 & 0.13081309 & 41.923 \\ \text { Sale price } & -0.0733 & 0.02338826 & -3.134 \\ \text { Sub-Zero brand } & 1.11962 & 0.14615699 & 7.660 \\ \text { Total capacity (in cubic ft) } & 0.06956 & 0.00535103 & 12.999 \\ \text { Two door, freezer on bottom } & 0.046569 & 0.0808569 & 0.576 \\ \text { Two door, side freezer } & \text { Base } & & \\ \text { Two door, freezer on top } & -0.343246 & 0.03595873 & -9.546 \\ \text { One door with freezer } & -0.709558 & 0.13097047 & -5.418 \\ \text { One door, no freezer } & -0.881981 & 0.14913992 & -5.914 \\ \hline \end{array}$$

For the item below, identify the infinitive or infinitive phrase and determine whether it functions as a noun, an adjective, or an adverb.

As he went out ... to fetch the cows---...

Wear-out of used display panels. Refer to Exercise $4.126$ (p. 246) and the study of the wear-out failure time of used colored display panels purchased by an outlet store. Recall that prior to acquisition, the panels had been used for about one-third of their expected lifetimes. The failure times (in years) for a sample of 50 used panels are reproduced in the table. An SPSS printout of the analysis is shown below. Give a practical interpretation of the interval, part a.

Find the reference angle $\theta_{\mathbf{R}}$ if $\theta$ has the given measure.

$$100$$

A couple decides to have children until they have a girl. On average, how many children will they have before this requirement is satisfied? Express your answer in terms of a formula involving $m$, the proportion of male births.

A fire hose 10 cm in diameter delivers water at 15 kg/s. The hose terminates in a 2.5-cm-diameter nozzle. What are the flow speeds

(a) in the hose and

(b) at the nozzle?

Concept List

$$\begin{array}{lll}\text { acronym } & \text { symbolize } & \text { predict } \\ \text { classify } & \text { abbreviate } & \text { equal } \\ \text { analyze } & \text { deduce } & \text { dimensions }\end{array}$$

Determine the concept that best describes each exercise. Choose from the concept list above. qt for quarts

Do you think the term spread was an effective predictor of the recession that started in December 2007? Why or why not?

Find the measure of the reference angle for each given angle. $\theta=-185^{\circ}$

Matildabelle found that a quart of milk would serve 4 children or 3 adults. If 16 quarts of milk are available, how much will be left over after 40 children and 12 adults are served?

For a particular value of a predictor variable, is there a difference between the predicted value of the response variable and the point estimate for the conditional mean of the response variable? Explain your answer.

In given exercise, identify the center and radius of the circle.

$$x^2+y^2=49$$

Use reference triangles in an appropriate quadrant, to find the angles. $\tan ^{-1} \sqrt{3}$

Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed width / weight data, find the best predicted weight of a seal if the overhead width measured from a photograph is 2 cm. Can the prediction be con-ect? If not, what is wrong?

$$\begin{array} {|c | c | c | c | c | c | c | } \hline \text{Overhead Width}&7.2 & { 7.4 } & { 9.8 } & { 9.4 } & { 8.8 } & { 8.4 } \\ \hline \text{Weight}&116 & { 154 } & { 245 } & { 202 } & { 200 } & { 191 } \\ \hline \end{array}$$