Question
In: Statistics and Probability
1. Listed below are altitudes (thousands of feet) and air temperatures (degree Fahrenheit). Altitude 3 10...
1. Listed below are altitudes (thousands of feet) and air temperatures (degree Fahrenheit).
|
Altitude |
3 |
10 |
14 |
22 |
28 |
31 |
33 |
|
Temperature |
57 |
37 |
24 |
-5 |
-30 |
-41 |
-54 |
a. Construct a scatterplot.
b. Find the value of the linear correlation coefficient r.
c. Find the regression equation and draw the regression line on the scatterplot in a).
d. Find the critical values from Table A-6 using α = .05 and draw the graph.
e. Determine whether there is sufficient evidence to support the claim of a linear correlation between altitudes and air temperatures.
f. Predict the air temperature at the altitude of 6.327 thousand feet.
Solutions
orchestra answered 2 years agoRelated Solutions
Listed below are altitudes (thousands of feet) and outside air temperatures (degrees Fahrenheit) recorded during Delta...
Listed below are altitudes (thousands of feet) and outside air
temperatures (degrees Fahrenheit) recorded during Delta Flight 1053
from New Orleans to Atlanta. Construct a scatterplot, and find the
value of the linear correlation coefficient Also find the -value or
the critical values of from Table A-6 (page 732) using Is there
sufficient evidence to support a claim that there is a linear
correlation between altitude and outside air temperature? Altitude
3 10 14 22 28 31 33 Temp 57...
Listed below are altitudes (in thousands of feet) and outside air temperatures (in °F) recorded by...
Listed below are altitudes (in thousands of feet) and outside
air temperatures (in °F) recorded by a curious passenger during
Delta Flight 1053 from New Orleans to Atlanta.
Altitude
3
10
14
22
28
31
33
Temperature
57
37
24
-5
-30
-41
-54
Below is the scatterplot of this data with the best-fit
line.
Correlation coefficient (r) = -0.997
Meanaltitude = 20.14
Meantemperature = -1.71
Standard deviationaltitude (sx) =
11.423
Standard deviationtemperature (sy) = 42.221
Write down the equation...
1. Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a...
1. Listed below are altitudes (thousands of feet) and outside
air temperatures (°F) recorded during a flight. Find the (a)
explained variation, (b) unexplained variation, and (c)
indicated prediction interval. There is sufficient evidence to
support a claim of a linear correlation, so it is reasonable to
use the regression equation when making predictions. For the
prediction interval, use a 95% confidence level with the altitude
of 6327 ft (or 6.327 thousand feet).
Altitude
4
10
13
22
29
31...
Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight....
Listed below are altitudes (thousands of feet) and outside air
temperatures (°F) recorded during a flight. Find the (a)
explained variation, (b) unexplained variation, and (c)
indicated prediction interval. There is sufficient evidence to
support a claim of a linear correlation, so it is reasonable to
use the regression equation when making predictions. For the
prediction interval, use a 95% confidence level with the altitude
of 6327 ft (or 6.327 thousand feet).
Altitude
4
6
16
22
27
31
33...
Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight....
Listed below are altitudes (thousands of feet) and outside air
temperatures (°F) recorded during a flight. Find the (a)
explained variation, (b) unexplained variation, and (c)
indicated prediction interval. There is sufficient evidence to
support a claim of a linear correlation, so it is reasonable to
use the regression equation when making predictions. For the
prediction interval, use a 95% confidence level with the altitude
of 6327 ft (or 6.327 thousand feet).
Altitude Temperature
3 60
10 40
13 22...
Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight....
Listed below are altitudes (thousands of feet) and outside air
temperatures (°F) recorded during a flight. Find the (a)
explained variation, (b) unexplained variation, and (c)
indicated prediction interval. There is sufficient evidence to
support a claim of a linear correlation, so it is reasonable to
use the regression equation when making predictions. For the
prediction interval, use a 95% confidence level with the altitude
of 6327 ft (or 6.327 thousand feet).
Altitude Temperature
2
55
9
33
16
23...
Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight....
Listed below are altitudes (thousands of feet) and outside air
temperatures (°F) recorded during a flight. Find the (a)
explained variation, (b) unexplained variation, and(c) indicated
prediction interval. There is sufficient evidence to support a
claim of a linear correlation, so it is reasonable to use the
regression equation when making predictions. For the prediction
interval, use a 95% confidence level with the altitude of 6327 ft
(or 6.327 thousand feet).
Altitude
4
11
15
20
29
31
33
...
Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight....
Listed below are altitudes (thousands of feet) and outside air
temperatures (°F) recorded during a flight. Find the (a)
explained variation, (b) unexplained variation, and (c)
indicated prediction interval. There is sufficient evidence to
support a claim of a linear correlation, so it is reasonable to
use the regression equation when making predictions. For the
prediction interval, use a 95% confidence level with the altitude
of 6327 ft (or 6.327 thousand feet).
Altitude 4 12 15 20 28 31 33...
The low temperatures (in degrees Fahrenheit) for seven days in February, in Minneapolis, are -3, 2,...
The low temperatures (in degrees Fahrenheit) for seven days in
February, in Minneapolis, are
-3, 2, 12, -5, -5, -11, and 6. Which one of the following
statements is true for this set of data?
A. The mean is smaller than the median.
B. The interquartile range (or IQR) will be negative.
C. The standard deviation will be negative since there are
negative values in the data set.
D. The first quartile (or Q1) is 2.
E. If the temperature...
1.The yearly salary (in thousands of dollars) for a small company are listed below. Find the...
1.The yearly salary (in thousands of dollars) for a small
company are listed below. Find the mode, mean, median and
population standard deviation and use the Empirical Rule to find a
95% confidence interval.
74 46 397 75 98 67 46 96
2. From the Measures of Central Tendencies computed above, which
one would you use to represent the “average” company salary.
Explain your reasoning.
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