Question
In: Statistics and Probability
The following data includes the year, make, model, mileage (in thousands of miles) and asking price...
The following data includes the year, make, model, mileage (in
thousands of miles) and asking price (in US dollars) for each of 13
used Honda Odyssey minivans. The data was collected from the Web
site of the Seattle P-I on April 25, 2005.
| year | make | model | mileage | price |
| 2004 | Honda | Odyssey EXL | 20 | 26900 |
| 2004 | Honda | Odyssey EX | 21 | 23000 |
| 2002 | Honda | Odyssey | 33 | 17500 |
| 2002 | Honda | Odyssey | 41 | 18999 |
| 2001 | Honda | Odyssey EX | 43 | 17200 |
| 2001 | Honda | Odyssey EX | 67 | 18995 |
| 2000 | Honda | Odyssey LX | 46 | 13900 |
| 2000 | Honda | Odyssey EX | 72 | 15250 |
| 2000 | Honda | Odyssey EX | 82 | 13200 |
| 2000 | Honda | Odyssey | 99 | 11000 |
| 1999 | Honda | Odyssey | 71 | 13900 |
| 1998 | Honda | Odyssey | 85 | 8350 |
| 1995 | Honda | Odyssey EX | 100 | 5800 |
Compute the correlation between age (in years) and mileage for
these minivans. (Assume the correlation conditions have been
satisfied and round your answer to the nearest 0.001.)
Solutions
orchestra answered 1 year agoRelated Solutions
The data below is the mileage (thousands of miles) and age of your cars . Year...
The data below is the mileage (thousands of miles) and age of
your cars .
Year Miles Age
2017 8.5
1
2009 100.3 9
2014 32.7 4
2004 125.0 14
2003 115.0 15
2011 85.5 7
2012 23.1 6
2012 45.0 6
2004 123.0 14
2013 51.2 5
2013 116.0 5
2009 110.0 9
2003 143.0 15
2017 12.0 1
2005 180.0 13
2008 270.0 10
Please include appropriate Minitab Results when
important
a. Identify terms in the simple linear...
The data below is the mileage (thousands of miles) and age of your cars . Year...
The data below is the mileage (thousands of miles) and age of
your cars .
Year Miles Age
2017 8.5
1
2009 100.3 9
2014 32.7 4
2004 125.0 14
2003 115.0 15
2011 85.5 7
2012 23.1 6
2012 45.0 6
2004 123.0 14
2013 51.2 5
2013 116.0 5
2009 110.0 9
2003 143.0 15
2017 12.0 1
2005 180.0 13
2008 270.0 10
Please include appropriate Minitab Results when
important
a. Identify terms in the simple linear...
The data below is the mileage (thousands of miles) and age of your cars as sample....
The data below is the mileage (thousands of miles) and age of
your cars as sample.
Year Miles Age
2017 8.5
1
2009 100.3 9
2014 32.7 4
2004 125.0 14
2003 115.0 15
2011 85.5 7
2012 23.1 6
2012 45.0 6
2004 123.0 14
2013 51.2 5
2013 116.0 5
2009 110.0 9
2003 143.0 15
2017 12.0 1
2005 180.0 13
2008 270.0 10
Please include appropriate Minitab Results when
important
a. Identify terms in the simple...
The following data give the odometer mileage (rounded to the nearest thousand miles) for all 20...
The following data give the odometer mileage (rounded to the
nearest thousand miles) for all 20 cars that are for sale at a
dealership.
61
88
58
83
71
40
27
38
52
43
27
40
90
43
95
35
28
47
88
76
a. Calculate the values of the three quartiles
and the interquartile range.
Q1 =
Q2 =
Q3 =
IQR =
b. Find the approximate value of the
19th percentile.
c. Calculate the percentile rank of 71....
The average gas mileage of a certain model car is 28.0 miles per gallon. If the...
The average gas mileage of a certain model car is 28.0 miles per
gallon. If the gas mileages are normally distributed with a
standard deviation of 0.4 miles per gallon, find the probability
that a car has a gas mileage of between 26.8 and 27.2 miles per
gallon. In addition to the answer, please write out
your steps and thoughts that led you to your answer.
Currently, a manager is using a regression model that predicts gas mileage (in miles per gallon)...
Currently, a manager is using a regression model that predicts
gas mileage (in miles per gallon) based on the horsepower of a
car and the car's weight (in pounds). She believes that the
effect of HP on gas milage is affected by the weight and vice
versa. Develop a regression model that includes horsepower,
weight, and this new interaction effect to predict gas mileage.
Complete parts (a) and (b).
MPG- 15.3,19.5,20.8,18.9,17.2,27.5,44.4,27.2,28.3,21.1
Horsepower-187,101,143,171,166,72,70,89,87,134
Weight-4757,3537,3227,4448,4296,3191,2106,2490,2605,3871
a. At the 0.01level of significance, is...
The data provided give the gasoline mileage (in miles per gallon) based on the horsepower of...
The data provided give the gasoline mileage (in miles per
gallon) based on the horsepower of a car's engine and the weight
of the car (in pounds). Using the data provided, determine the
VIF for each independent variable in the model. Is there reason to
suspect the existence of collinearity?
Determine the VIF for each independent variable in the
model.
MPG
Horsepower
Weight
15.8
185
4,758
19.7
106
3,534
20.3
141
3,220
18.8
172
4,466
17.3
166
4,293
27.5
75...
The following stem-and-leaf diagram gives the distances (in thousands of miles) driven during the past year...
The following stem-and-leaf diagram gives the
distances (in thousands of
miles) driven during the past year by a sample of 15 drivers.
0 3 6 9
1 2 8 5 1 0 5
2 5 1 6
3 8
4 1
5
6 2
(a) (1 point) Rank the data on a single line.
(b) (1 point) Compute the mode.
(c) (2 points) Compute the first and third quartiles.
(d) (1 point) Compute the interquartile range.
(e) (2 points) Compute...
The following data represent the asking price of a simple random sample of homes for sale....
The following data represent the asking price of a simple random
sample of homes for sale. Construct a 99% confidence interval with
and without the outlier included. Comment on the effect the outlier
has on the confidence interval.
$270,500 , $143,000 , $459,900 , $208,500 , $279,900 , $205,800
, $283,900 , $147,800 , $219,900 , $248,900 , $187,500 ,
$264,900
The following data represent the daily supply (y in thousands of units) and the unit price...
The following data represent the daily supply (y in
thousands of units) and the unit price (x in dollars) for
a product.
Daily Supply (y)
Unit Price (x)
5
2
7
4
9
8
12
5
10
7
13
8
16
16
16
6
a.
Compute and interpret the sample covariance for the above
data.
b.
Compute the standard deviation for the daily supply.
c.
Compute the standard deviation for the unit price.
d.
Compute and interpret the sample...
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