Question

4. Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.

x y

12 8.86

13 8.11

7 8.45

10 9.54

8 9.10

9 9.45

6 7.54

11 9.34

4 4.86

3 3.11

5 6.34

Ŷ=____+____x

(Round to two decimal places as needed.)

Create a scatterplot of the data.

Identify a characteristic of the data that is ignored by the regression line.

A.There is no trend in the data.

B.The data has a pattern that is not a staight line.

C.There is an influential point that strongly affects the graph of the regression line.

D.There is no characteristic of the data that is ignored by the regression line.

Answer #1

The statistical software output for this problem is:

Hence,

Regression equation will be:

Ŷ = 3.7 + 0.5 x

Characteristic: **Option B** is correct.

Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line.
x
9
9
11
10
10
14
5
4
11
6
6
y
7.25
6.73
12.84
7.29
7.63
8.55
6.36
5.24
7.93
6.67
5.74
1.)Create a scatterplot of the data. Choose the correct graph
below.
2.)Find the equation of the regression line.
Identify a characteristic of the data that is ignored...

Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line. x 66 99 44 1010 1111 77 55
88 1313 1414 1212 y 8.748.74 12.4012.40 4.914.91 13.0513.05
13.4413.44 10.2410.24 6.966.96 11.4511.45 13.3613.36 12.9112.91
13.5413.54

Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line.
x
5
12
4
10
7
9
6
14
13
11
8
y
10.29
21.86
7.42
20.07
15.11
18.72
12.86
22.42
22.29
21.11
17.07
y^= _+_x?

Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line.
x
15
12
5
6
11
9
10
7
14
8
13
y
18.82
18.41
6.82
9.39
17.67
15.27
16.62
11.66
18.99
13.61
18.86
^
y = ___ +___x (Round to two decimal places as needed.

Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line. x 9 8 11 9 10 13 6 4 12 7 5
y 7.24 7.08 13.32 7.2 7.47 8.99 5.84 5.23 8.55 6.61 5.62 Create a
scatterplot of the data. Choose the correct graph below. A.
0510152025 0510152025xy A scatterplot has a horizontal x-scale from
0 to 25 in intervals of...

Use the given data to find the equation of the regression line.
Examine the scatterplot and identify a characteristic of the data
that is ignored by the regression line.
x
1010
88
1111
99
1010
1414
55
44
1313
88
55
y
7.337.33
6.736.73
12.8612.86
6.786.78
7.467.46
8.978.97
6.216.21
5.515.51
8.178.17
6.566.56
5.95.9
Create a scatterplot of the data. Choose the correct graph
below.
A.
05101520250510152025xy
A scatterplot has a horizontal x-scale from 0 to 25 in intervals
of 1...

4. Use the given data set to complete parts (a) through (c)
below. (Use a=0.05.)
x
y
10
9.13
8
8.13
13
8.73
9
8.78
11
9.27
14
8.09
6
6.13
4
3.09
12
9.14
7
7.27
5
4.73
a. Construct a scatterplot
Find the linear correlation coefficient, r, then determine
whether there is sufficient evidence to support the claim of a
linear correlation between the two variables.
The linear correlation coefficient is r=_____.
(Round to three decimal places as...

Use the given data to find the equation of the regression line.
x 4 2 4 3 2 y 5 2 3 3 negative 1 ModifyingAbove y with caretequals
nothingplus nothingx (Round to two decimal places as needed.)

Use the given data set to complete parts (a) through (c)
below. (Use
alphaαequals=0.05.)
x
1010
88
1313
99
1111
1414
66
44
1212
77
55
y
7.457.45
6.786.78
12.7412.74
7.117.11
7.817.81
8.858.85
6.096.09
5.395.39
8.148.14
6.416.41
5.735.73
LOADING...
Click here to view a table of critical values for the
correlation coefficient.
b. Find the linear correlation coefficient, r, then determine
whether there is sufficient evidence to support the claim of a
linear correlation between the two variables.
The linear...

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
768
628
518
511
491...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 3 minutes ago

asked 14 minutes ago

asked 26 minutes ago

asked 29 minutes ago

asked 35 minutes ago

asked 35 minutes ago

asked 44 minutes ago

asked 57 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago