Question 1

Interpret the intercept of your model in context.

Accepted Answer

Intercept of the model is -19.

Question 2

Three brands of AAA batteries are compared to see which last longest. Each brand of
battery is tested in four different devices (a TV remote control, a hand-held game, a
miniature flashlight, and a digital camera). The experiment is run once for each
combination of brand and device. The twelve runs are ordered randomly. The time that the
each battery lasts (in minutes) under continuous usage is recorded. $$\begin{array} { | l | r | r | r | } 
\hline \text { Device } & \text { Brand A } & \text { Brand B } & \text { Brand C } \
\hline \text { Remote } & 1320 & 1220 & 1250 \
\hline \text { Game } & 480 & 460 & 450 \
\hline \text { Light } & 245 & 225 & 240 \
\hline \text { Camera } & 81 & 72 & 77 \
\hline
\end{array}$$ 
The two-way ANOVA table for response variable Time and factors Brand and Device is
given below.   
a. Write the model equation for this ANOVA. (Use symbols or words, no numbers.)
b. Test to see whether there is a brand effect. Write the hypotheses being tested, and state
your conclusion using a 5% level of significance. Write your conclusion in the context of
this problem.
c. Explain the role that the device factor plays in this analysis.
d. Can an interaction term be added to this model? Explain.
e. Use the plots below to check the ANOVA conditions.

Accepted Answer

there is not enough data to fit the mode

Question 3

The veterinary bills for the dogs are summarized in the ogive shown. Estimate the IQR of these
Expenses.

Accepted Answer

A)  $200 
B)  $100 
C)  $150 
D)  $50 
E)  $75 
A)  $200 
B)  $100 
C)  $150 
D)  $50 
E)  $75

Question 4

In an experiment the primary purpose of blocking is to reduce

Accepted Answer

A)  confounding. 
B)  randomness. 
C)  variation. 
D)  undercoverage. 
E)  bias. 
A)  confounding. 
B)  randomness. 
C)  variation. 
D)  undercoverage. 
E)  bias.

Question 5

We can tell that these two features are independent because…
A) The probability of having a kickstand given that you have a water bottle (56.7%) is about
equal to the probability of having a kickstand (55%).
B) These two features don't have anything to do with each other, so we know they're
independent.
C) The probability of having both features (34%) does not equal the probability of having neither
feature (19%).
D) The probability of having both features is not zero; it is 34%.
E) The probability of having either feature (81%) doesn't equal the probability of having just one
feature (60% and 55%).

Accepted Answer

A
Solve th

Question 6

Is there evidence of an association between GPA and ACT score? Test an appropriate
hypothesis and state your conclusion in the proper context.

Accepted Answer

We have GPA and ACT scores from a sample

Question 7

For a class project, students tested four different brands of laundry detergent (1, 2, 3, 4) in
three different water temperatures (hot, warm, cold) to see whether their were any
differences in how well the detergents could clean clothes. The students took 36 identical
pieces of cloth and made them dirty by staining them with coffee, dirt, and grass. The 36
pieces were randomly assigned to the 12 combinations of detergent and temperature so
that each combination had 3 replicates. After washing, the students rated how clean the
clothes were from 0 (no change) to 20 (completely spotless). The two factor ANOVA table
is shown below along with an interaction plot and residual plots. $$\begin{array} { | l r r r r r | } 
\hline \text { Source } & \text { df } & \begin{array} { c } 
\text { Sums of } \
\text { Squares }
\end{array} & \begin{array} { l } 
\text { Mean } \
\text { Square }
\end{array} & \text { F-ratio } & \text { P-value } \
\hline \text { Detergent } & 3 & 38.972 & 12.9907 & 3.966 & 0.0171 \
\text { Temp } & 2 & 181.056 & 90.5278 & 27.634 & < 0.0001 \
\text { Error } & 30 & 98.278 & 3.2759 & & \
\text { Total } & 35 & 318.306 & & & \
\hline
\end{array}$$ 
   
a. Write the hypotheses tested by the Detergent F-ratio. Test the hypotheses and explain
your conclusion in the context of the problem.
b. Write the hypotheses tested by the Temp F-ratio. Test the hypotheses and explain your
conclusion in the context of the problem.
c. Check the conditions required for the ANOVA analysis.

Accepted Answer

a. @#LAT-DLM&. Each detergent has an equal effect

Question 8

Describe how you will use a random number table to conduct this simulation.

Accepted Answer

Assign digit pairs as follows:
01 - 17 m

Question 9

How many times should the restaurant expect to have to get this freezer repaired over the
three-year term of the lease?

Accepted Answer

The answer of How many times should the restaurant expect...

Question 10

A regression model examining the amount of distance a long distance runner runs (in miles) to
Predict the amount of fluid the runner drinks (ounces) has a slope of 4.6. Which interpretation is
Appropriate?

Accepted Answer

A)  We predict 4.6 miles for every ounce that is drunk. 
B)  The correlation is needed to interpret this value. 
C)  We predict for every mile run, the runner drinks 4.6 more ounces. 
D)  Each mile adds 4.6 more ounces. 
E)  A runner drinks a minimum of 4.6 oz. 
A)  We predict 4.6 miles for every ounce that is drunk. 
B)  The correlation is needed to interpret this value. 
C)  We predict for every mile run, the runner drinks 4.6 more ounces. 
D)  Each mile adds 4.6 more ounces. 
E)  A runner drinks a minimum of 4.6 oz.

Question 11

A regression model examining the amount of weight a football player can bench press found that
10 cm differences in chest size are associated with 8 kg differences in weight pressed. Which is
True?
I. The correlation between chest size and weight pressed is $r = 0.80$
II. As a player gets stronger and presses more weight his chest will get bigger.
III. A positive residual means that the player pressed more than predicted.

Accepted Answer

A)  I and III 
B)  none 
C)  I and II 
D)  III only 
E)  I only 
A)  I and III 
B)  none 
C)  I and II 
D)  III only 
E)  I only

Question 12

The farmer with 35 had 15,400 oranges; find the value of his residual. Show your work.

Accepted Answer

The predic

Interpret the intercept of your model in context.

The veterinary bills for the dogs are summarized in the ogive shown. Estimate the IQR of these Expenses.

In an experiment the primary purpose of blocking is to reduce

Is there evidence of an association between GPA and ACT score? Test an appropriate hypothesis and state your conclusion in the proper context.

Describe how you will use a random number table to conduct this simulation.

How many times should the restaurant expect to have to get this freezer repaired over the three-year term of the lease?

A regression model examining the amount of distance a long distance runner runs (in miles) to Predict the amount of fluid the runner drinks (ounces) has a slope of 4.6. Which interpretation is Appropriate?

The farmer with 35 had 15,400 oranges; find the value of his residual. Show your work.

Exploring and Understanding Data

Exploring Relationships Between Variables

Gathering Data

Randomness and Probability

From the Data at Hand to the World at Large

Accessing Associations Between Variables

Inference When Variables Are Related

Filters

Exam 8: Regression, Associations, and Predictive Modeling

Interpret the intercept of your model in context.

The veterinary bills for the dogs are summarized in the ogive shown. Estimate the IQR of these Expenses.

In an experiment the primary purpose of blocking is to reduce

Is there evidence of an association between GPA and ACT score? Test an appropriate hypothesis and state your conclusion in the proper context.

Describe how you will use a random number table to conduct this simulation.

How many times should the restaurant expect to have to get this freezer repaired over the three-year term of the lease?

A regression model examining the amount of distance a long distance runner runs (in miles) to Predict the amount of fluid the runner drinks (ounces) has a slope of 4.6. Which interpretation is Appropriate?

The farmer with 35 had 15,400 oranges; find the value of his residual. Show your work.

Exploring and Understanding Data

Exploring Relationships Between Variables

Gathering Data

Randomness and Probability

From the Data at Hand to the World at Large

Accessing Associations Between Variables

Inference When Variables Are Related

Filters