Question
In: Statistics and Probability
(a) Construct a scatter diagram of the given bivariate data
Consider the following bivariate data.
| Point | A | B | C | D | E | F | G | H | I | J |
| x | 0 | 1 | 1 | 2 | 3 | 4 | 5 | 6 | 6 | 7 |
| y | 5 | 5 | 6 | 5 | 6 | 3 | 2 | 0 | 1 | 1 |
(a) Construct a scatter diagram of the given bivariate data. (Do
this on paper. Your instructor may ask you to turn in this
work.)
(b) Calculate the covariance. (Give your answer correct to two
decimal places.)
(c) Calculate sx and sy.
(Give your answers correct to three decimal places.)
| sx | = |
| sy | = |
(d) Calculate r using formula 13.2. (Give your answer
correct to two decimal places.)
(e) Calculate r using formula 13.3. (Give your answer
correct to two decimal places.)
Solutions
b) d) e) 
orchestra answered 1 year agoRelated Solutions
A data set is given a) (a) Draw a scatter diagram. Comment on the type of...
A data set is given
a)
(a) Draw a scatter diagram. Comment on the type of relation that
appears to exist between x and y.
(b) Given that
x overbarxequals=3.83333.8333,
s Subscript xsxequals=2.40142.4014,
y overbaryequals=3.98333.9833,
s Subscript ysyequals=1.74521.7452,
and
requals=negative 0.9457−0.9457,
determine the least-squares regression line.
(c) Graph the least-squares regression line on the scatter
diagram drawn in part (a).
x
0
2
4
5
6
6
y
6.0
5.8
4.7
3.0
2.1
2.3
Below are four bivariate data sets and the scatter plot for each. (Note that each scatter...
Below are four bivariate data sets and the scatter plot for
each. (Note that each scatter plot is displayed on the same scale.)
Each data set is made up of sample values drawn from a
population.
x
y
1.0
10.0
2.0
9.0
3.0
8.0
4.0
7.0
5.0
6.0
6.0
5.0
7.0
4.0
8.0
3.0
9.0
2.0
10.0
1.0
x
1
2
3
4
5
6
7
8
9
10
11
y
1
2
3
4
5
6
7
8
9...
***Please show the work in Excel*** Use the following data to construct a scatter diagram. Does...
***Please show the work in Excel***
Use the following data to construct a scatter diagram. Does
there appear to be a relationship between hours of overtime and
number of rejects? Discuss.
Hours of
Overtime Number
of Rejects
127 33
90 25
95 23
160 40
10 9
80 19
27 14
103 28
48 19
65 31
A data set is given below. (a) Draw a scatter diagram. Comment on the type of...
A data set is given below. (a) Draw a scatter diagram. Comment
on the type of relation that appears to exist between x and y. (b)
Given that x̅ = 3.8333, Sx = 2.4014 , ȳ equals = 3.7333 3., Sy =
1.8381, and r = -0.9545 , determine the least-squares regression
line.
(c) Graph the least-squares regression line on the scatter
diagram drawn in part
x y
0 5.9
2 5.7
4 4.3
5 2.8
6 1.7
6 2...
A data set is given below. (a) Draw a scatter diagram. Comment on the type of...
A data set is given below. (a) Draw a scatter diagram. Comment
on the type of relation that appears to exist between x and y. (b)
Given that x̅ = 3.6667, sx = 2.0656, ŷ = 4.2000, sy = 1.4805, and
r = −0.9287, determine the least-squares regression line. (c)
Graph the least-squares regression line on the scatter diagram
drawn in part (a).
x y
1 5.2
2 5.8
3 5.4
4 3.8
6 2.4
6 2.6
(a) Choose the...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.) Then
use the regression equation to predict the value of y for each of
the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city.
Height : 772, 628, 518, 508, 496, 483,
y:...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city. Height comma x 762 621 515 508 491 480...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (The pair of variables have a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The table below shows the
heights (in feet) and the number of stories of six notable
buildings in a city.
Height comma xHeight, x
766766
620620
520520
508508
494494...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below.
font size decreased by 1 font size increased by...
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data.
Then construct a scatter plot of the data and draw the regression
line. (Each pair of variables has a significant correlation.)
Then use the regression equation to predict the value of y for each
of the given x-values, if meaningful. The caloric content and the
sodium content (in milligrams) for 6 beef hot dogs are shown in
the table below. font size decreased by 1 font size increased by...
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