Question
In: Statistics and Probability
#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 five decimal places.)
(b) Compute r2. (Round your answer to three
decimal places.)
(c) Calculate a point estimate of σ. (Round your answer to
four decimal places.)
On how many degrees of freedom is your estimate based?
Solutions
orchestra answered 2 years agoRelated Solutions
#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 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...
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...
The accompanying data represent the number of days absent, x, and the final exam score, y,...
The accompanying
data represent the number of days absent, x, and the final exam
score, y, for a sample of college students in a general education
course at a large state university. Complete parts (a) through (e)
below.
Click
the icon to view the absence count and final exam score
data.
Absences and Final
Exam Scores
No. of
absences, x
0
1
2
3
4
5
6
7
8
9
Final
exam
score,
y
88.3
87.3
84.2
80.9
77.6
73.8...
Regression analysis was applied between sales data (y in $1000s) and advertising data (x in $100s)...
Regression analysis was applied between sales data (y in $1000s)
and advertising data (x in $100s) and the following information was
obtained. = 30 + 2x n = 17 SSR = 450 SSE = 150
The critical t value for testing the significance of the slope,
at a .05 level of significance, is: 1.746. 2.131. 1.753. 2.120.
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...
A Regression analysis was applied between sales data (y in $1000s) and advertising expenditure (x in...
A Regression analysis was applied between sales data (y in
$1000s) and advertising expenditure (x in $100s) and the estimated
regression equation is obtained as ŷ = 12 + 1.8 x.
Suppose SST=300, SSE=75, sb1 =0.2683 and ?=17
a) Carry out a t-test to see whether the advertising expenditure
is significant. Use α = 0.05 and critical value approach to draw
your conclusion. Make sure to show all your steps.
b) Carry out an F-test to see whether the advertising...
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