Question
In: Math
The accompanying data on x = current density (mA/cm2) and y = rate of deposition (µm/min)...
The accompanying data on x = current density (mA/cm2) and y = rate of deposition (µm/min) appeared in an article. Do you agree with the claim by the article's author that "a linear relationship was obtained from the tin-lead rate of deposition as a function of current density"?
| x | 20 | 40 | 60 | 80 |
| y | 0.29 | 1.10 | 1.76 | 2.07 |
Find the value of r2. (Round your answer to
three decimal places.)
r2 =
Explain your reasoning.
The very high value of r2 denies the author's claim.
The very low value of r2 confirms the author's claim.
The very high value of r2 confirms the author's claim.
The very low value of r2 denies the author's claim.
Solutions
Expert Solution
TOPIC:Correlation coefficient,Linear relationship between two variables.
milcah answered 10 months agoRelated Solutions
The accompanying data are x = advertising share and y = market share for a particular...
The accompanying data are x = advertising share and y = market
share for a particular brand of cigarettes during 10 randomly
selected years. x 0.101 0.073 0.072 0.077 0.086 0.047 0.060 0.050
0.070 0.052 y 0.138 0.126 0.120 0.086 0.079 0.076 0.065 0.059 0.051
0.039
(a) Calculate the equation of the estimated regression line.
(Round your answers to six decimal places.) Obtain the predicted
market share when the advertising share is 0.09. (Round your answer
to five decimal places.)...
The accompanying data are x = advertising share and y = market share for a particular...
The accompanying data are x = advertising share and
y = market share for a particular brand of cigarettes
during 10 randomly selected years.
x
0.104
0.072
0.072
0.077
0.086
0.047
0.060
0.050
0.070
0.052
y
0.137
0.128
0.122
0.086
0.079
0.076
0.065
0.059
0.051
0.039
(a) Calculate the equation of the estimated regression line.
(Round your answers to six decimal places.)
y =
Obtain the predicted market share when the advertising share is
0.09. (Round your answer to five...
The accompanying data are x = advertising share and y = market share for a particular...
The accompanying data are x = advertising share and
y = market share for a particular brand of cigarettes
during 10 randomly selected years.
x
0.101
0.072
0.071
0.077
0.086
0.047
0.060
0.050
0.070
0.052
y
0.136
0.125
0.123
0.086
0.079
0.076
0.065
0.059
0.051
0.039
(a) Calculate the equation of the estimated regression line.
(Round your answers to six decimal places.)
y=________
Obtain the predicted market share when the advertising share is
0.09. (Round your answer to five decimal...
The accompanying data are x = advertising share and y = market share for a particular...
The accompanying data are x = advertising share and
y = market share for a particular brand of cigarettes
during 10 randomly selected years.
x
0.103
0.072
0.072
0.077
0.086
0.047
0.060
0.050
0.070
0.052
y
0.135
0.124
0.122
0.086
0.079
0.076
0.065
0.059
0.051
0.039
(a) Calculate the equation of the estimated regression line.
(Round your answers to six decimal places.)
y =
(B) Obtain the predicted market share when the advertising share is
0.09. (Round your answer to...
#6 The accompanying data are x = advertising share and y = market share for a...
#6
The accompanying data are x = advertising share and
y = market share for a particular brand of cigarettes
during 10 randomly selected years.
x
0.102
0.072
0.071
0.077
0.086
0.047
0.060
0.050
0.070
0.052
y
0.138
0.125
0.120
0.086
0.079
0.076
0.065
0.059
0.051
0.039
(a) Calculate the equation of the estimated regression line.
(Round your answers to six decimal places.)
y =
Obtain the predicted market share when the advertising share is
0.09. (Round your answer to...
#6 The accompanying data are x = advertising share and y = market share for a...
#6
The accompanying data are x = advertising share and
y = market share for a particular brand of cigarettes
during 10 randomly selected years.
x
0.102
0.072
0.071
0.077
0.086
0.047
0.060
0.050
0.070
0.052
y
0.138
0.125
0.120
0.086
0.079
0.076
0.065
0.059
0.051
0.039
(a) Calculate the equation of the estimated regression line.
(Round your answers to six decimal places.)
y =
Obtain the predicted market share when the advertising share is
0.09. (Round your answer to...
The accompanying data set consists of observations on shower-flow rate (L/min) for a sample of houses...
The accompanying data set consists of observations on
shower-flow rate (L/min) for a sample of houses in Perth, Australia
(“An Application of Bayes Methodology to the Analysis of Diary
Records in a Water Use Study,” J. Amer. Stat. Assoc., 1987:
705–711):
4.6 12.3 7.1 7.0 4.0 9.2 6.7 6.9 11.5
5.1 11.2 10.5 14.3 8.0 8.8 6.4 5.1 5.6 9.6 7.5 0.2 1.6
7.5 6.2 5.8 2.3 3.4 10.4 9.8 6.6 3.7
6.4 8.3 6.5 7.6 9.3 9.2 7.3 5.0...
The accompanying data set consists of observations on shower-flow rate (L/min) for a sample of houses...
The accompanying data set consists of observations on
shower-flow rate (L/min) for a sample of houses in Perth, Australia
(“An Application of Bayes Methodology to the Analysis of Diary
Records in a Water Use Study,” J. Amer. Stat. Assoc., 1987:
705–711):
4.6 12.3 7.1 7.0 4.0 9.2 6.7 6.9 11.5
5.1 11.2 10.5 14.3 8.0 8.8 6.4 5.1 5.6 9.6 7.5 0.2 1.6
7.5 6.2 5.8 2.3 3.4 10.4 9.8 6.6 3.7
6.4 8.3 6.5 7.6 9.3 9.2 7.3 5.0...
The accompanying data set consists of observations on shower-flow rate (L/min) for a sample of n...
The accompanying data set consists of observations
on shower-flow rate (L/min) for a
sample of n = 129 houses:
4.6
12.3
7.1
7.0
4.0
9.2
6.7
6.9
11.5
5.1
11.2
10.5
14.3
8.0
8.8
6.4
5.1
5.6
9.6
7.5
7.5
6.2
5.8
2.3
3.4
10.4
9.8
6.6
3.7
6.4
8.3
6.5
7.6
9.3
9.2
7.3
5.0
6.3
13.6
6.2
5.4
4.8
7.5
6.0
6.9
10.8
7.5
6.6
5.0
3.3
7.6
3.9
11.9
2.1
15.0
7.2
6.1
15.3
18.4
7.2
5.4...
The accompanying data show the number of hours, x, studied for and the grade received, y...
The accompanying data show the number of hours, x,
studied for and the grade received, y (y is
measured in tens; that is, y = 8 means that the grade,
rounded to the nearest 10 points, is 80).
x
2
3
3
4
5
5
5
6
6
6
6
7
7
7
8
y
5
5
7
5
6
7
8
6
9
8
7
9
10
8
9
(a) Use the given scatter diagram to estimate r for...
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