Question
In: Statistics and Probability
a. Develop an estimated regression equation for the data of the form . Comment on the adequacy of this equation for predicting . Enter negative value as negative number.
Consider the following data for two variables, and .
| x | 6 | 33 | 21 | 17 | 28 |
| y | 12 | 30 | 22 | 16 | 29 |
a. Develop an estimated regression equation for the data of the form . Comment on the adequacy of this equation for predicting . Enter negative value as negative number.
| The regression equation is | ||||||||||||||||||||||||
| (to 2 decimals) | ||||||||||||||||||||||||
|
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| Analysis of Variance | ||||||||||||||||||||||||
|
b. Develop an estimated regression equation for the data of the form . Comment on the adequacy of this equation for predicting . Enter negative value as negative number.
| The regression equation is | ||||||||||||||||||||||||
| (to 2 decimals) | ||||||||||||||||||||||||
|
||||||||||||||||||||||||
| Analysis of Variance | ||||||||||||||||||||||||
|
At the level of significance, the relationship - Select your answer -isis notItem 34 significant; note that of the variability in has been explained by .
c. Predict the value of y when x=9.
(to 2 decimals)
Solutions
Expert Solution
b.
c. When x=9, the predicted
value of y=6.36+0.74*9=13.02
orchestra answered 2 years agoRelated Solutions
Develop a scatter diagram for these data. Develop the estimated regression equation.
Given the following:
X: 1 2 3 4 5
Y: 3 7 5 11
14
Develop a scatter diagram for these data.
Develop the estimated regression equation.
Use the estimated regression equation to predict the value of Y
when X = 4
a. Develop an estimated regression equation for the data of the form y-hat = bo + b1 x.
Consider the following data for two variables, X and Y
X
6
29
21
15
24
Y
10
30
22
14
25
a. Develop an estimated regression equation for the data of the form y-hat = bo + b1 x. Comment on the adequacy of this equation for predicting y . Enter negative value as negative number.
The regression equation is
Y = [ ] + [ ] X (to 2 decimals)
S = [ ] (to 3 decimals)...
The estimated regression equation for predicting the number of speeding tickets from a driver’s age is...
The estimated regression equation for predicting the number of
speeding tickets from a driver’s age is given as Y = 5 – 0.06X. For
every year older an individual gets, the estimated number of
speeding tickets
Need to know which is the answer:
Increases by 5 tickets
Decreases by 5 tickets
Decreases by 0.06 tickets
develop simple linear regression models for predicting sales as a function of the number of each...
develop simple linear regression models for predicting sales as
a function of the number of each type of ad. Compare these results
to a multiple linear regression model using both independent
variables. State each model and explain R- square, significance F
and P-values.
Concert Sales
Thousands of
Thousands of
Sales ($1000)
Radio&TV ads
Newspaper ads
$1,119.00
0
40
$973.00
0
40
$875.00
25
25
$625.00
25
25
$910.00
30
30
$971.00
30
30
$931.00
35
35
$1,177.00
35
35
$882.00...
a. Develop the estimated regression equation by using the formula for computing the values for bo...
a. Develop the estimated regression equation by using the
formula for computing the values for bo and b1. “ SHOW YOUR WORK”
means WRITE the formula and create the columns as needed below
follow the steps through. If you need more space below, create them
by pressing ENTER
b. Compute SSE, SST, and SSR using only Computing formulas.
c. Compute the coefficient of determination r (The same as R ).
Comment on the goodness of fit (That is, what does...
a. Develop the estimated regression equation by using the formula for computing the values for bo...
a. Develop the estimated regression equation by using the
formula for computing the values for bo and b1. “ SHOW YOUR WORK”
means WRITE the formula and create the columns as needed below
follow the steps through. If you need more space below, create them
by pressing ENTER
b. Compute SSE, SST, and SSR using only Computing formulas.
c. Compute the coefficient of determination r (The same as R ).
Comment on the goodness of fit (That is, what does...
The estimated regression equation for these data is ŷ = 70 − 3x.
Consider the data.
xi
3
12
6
20
14
yi
55
35
60
10
25
The estimated regression equation for these data is
ŷ = 70 − 3x.
(a)
Compute SSE, SST, and SSR using equations
SSE = Σ(yi −
ŷi)2,
SST = Σ(yi −
y)2,
and
SSR = Σ(ŷi −
y)2.
SSE=
SST=
SSR=
(b)
Compute the coefficient of determination
r2. (Round your answer to three
decimal places.)
r2 =
(c)
Compute the sample correlation coefficient. (Round your answer...
Develop an estimated regression equation with annual income and household size as the independent variables. Discuss...
Develop an estimated regression equation with annual income and
household size as the independent variables. Discuss your findings
-
Income
($1000s)
Household
Size
Amount
Charged ($)
54
3
4,016
30
2
3,159
32
4
5,100
50
5
4,742
31
2
1,864
55
2
4,070
37
1
2,731
40
2
3,348
66
4
4,764
51
3
4,110
25
3
4,208
48
4
4,219
27
1
2,477
33
2
2,514
65
3
4,214
63
4
4,965
42
6
4,412
21
2
2,448...
For the following data, find the regression equation for predicting Y from X X Y 1...
For the following data, find the regression equation for
predicting Y from X
X
Y
1
2
4
7
3
5
2
1
5
8
3
7
1a.
Group of answer choices
a. Ŷ = -2X + 8
b. Ŷ =2X + 8
c. Ŷ =1.8X - 0.4
d. Ŷ =1.8X + 0.4
1b.
For the following scores, find the regression equation for
predicting Y from X
X
Y
3
8
6
4
3
5
3
5
5
3
For the following data: Find the regression equation for predicting Y from X (Provide your work)....
For the following data:
Find the regression equation for predicting Y from
X (Provide your work).
Use the regression equation to find a predicted Y for
each X.
Find the difference between the actual Y value and the
predicted Y value for each
individual, square the differences, and add
the squared values to obtain SSresidual.
Calculate the Pearson correlation for these data. Use
r2 and SSy to compute SSresidual. You should
obtain the same value as in part c.
Now...
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