Question
In: Statistics and Probability
he following data represent x = boat sales and y = boat trailer sales from 1995...
he following data represent x = boat sales and y = boat trailer sales from 1995 through 2000.
| Boats | Trailers |
| 649 | 207 |
| 619 | 194 |
| 596 | 181 |
| 576 | 174 |
| 585 | 168 |
| 574 | 159 |
Based on Q1 and Q2, estimate, for a year during which 500,000 boats are sold, the number of boat trailers that would be sold.
Solutions
Expert Solution
X X2
Y XY
649
6492 207 134343
619
6192 194 120086
596
5962 181 107876
576
5762 174 100224
585
5852 168 98280
574
5742 159 91266
ΣX = 3599 Σ(X2) =
2163055 ΣY
= 1083 ΣXY =652075
orchestra answered 3 years agoRelated Solutions
The following data represent x = boat sales and y = boat trailer sales from 1995...
The following data represent x = boat sales and y = boat trailer
sales from 1995 through 2000.
Boats
Trailers
649
207
619
194
596
181
576
174
585
168
574
159
1. Determine the Y intercept of the least-squares regression
line. (Specify your answer to 2nd decimal point)
2.Determine the slope of the least-squares regression line.
(Specify your answer to 3rd decimal point)
3. Based on Q1 and Q2, estimate, for a year during which 500,000
boats are sold,...
The following data represent the number of days absent (x) and the final grade (y) for...
The following data represent the number of days absent (x) and
the final grade (y) for a sample of college students in a
statistics course at a large university.
Number of absences (x):
0
1
2
3
4
5
6
7
8 9
Final grade
(y):
89.2 86.4 83.5
81.1 78.2 73.9
64.3 71.8 65.5 66.2
Draw a scatter diagram on graph paper. The number of days
absent is the explanatory variable and the final grade is the
response variable....
The following data represent the number of days absent (x) and the final grade (y) for...
The following data represent the number of days absent (x) and
the final grade (y) for a sample of college students in a
statistics course at a large university.
Number of absences (x): 0 1 2 3 4 5 6 7 8 9
Final grade (y): 89.2 86.4 83.5 81.1 78.2 73.9 64.3 71.8 65.5
66.2
a) Draw a scatter diagram on graph paper. The number of days
absent is the explanatory variable and the final grade is the
response...
The following data represent Aggregate Consumption (Y) and Disposable Income (X) for one country. Year Y...
The following data represent Aggregate Consumption (Y) and
Disposable Income (X) for one country.
Year Y X
1993 102 114
1994 105 118
1995 109 126
1996 110 130
1997 121 134
1998 125 140
a. Develop the least squares estimated regression equation.
b. Find coefficient of correlation and coefficient of
covariance
A sales manager collected the following data on x = years of experience and y =...
A sales manager collected the following data on x =
years of experience and y = annual sales ($1,000s). The
estimated regression equation for these data is
ŷ = 83 + 4x.
Salesperson
Years of
Experience
Annual Sales
($1,000s)
1
1
80
2
3
97
3
4
102
4
4
107
5
6
103
6
8
116
7
10
119
8
10
123
9
11
127
10
13
136
(a)
Compute SST, SSR, and SSE.
SST=SSR=SSE=
(b)
Compute the coefficient...
A sales manager collected the following data on x = years of experience and y =...
A sales manager collected the following data on x =
years of experience and y = annual sales ($1,000s). The
estimated regression equation for these data is
ŷ = 82 + 4x.
Salesperson
Years of
Experience
Annual Sales
($1,000s)
1
1
80
2
3
97
3
4
102
4
4
107
5
6
103
6
8
101
7
10
119
8
10
128
9
11
127
10
13
136
(a)
Compute SST, SSR, and SSE.
SST=SSR=SSE=
(b)
Compute the coefficient...
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
The data in the table below gives sales revenue for Continental Divide Mining from 1995 to...
The data in the table below gives sales revenue for Continental
Divide Mining from 1995 to 2005.
YEAR YEARS SINCE 1990 SALES REVENUE (MILLIONS)
1995 2.6155
1998 3.3131
1999 3.9769
2000 4.5494
2001 4.8949
2002 5.1686
2003 4.9593
2005 4.7489
(a) Complete the missing column in the table.
(b) Use Excel to determine the quadratic regression model, y, that
best represents sales revenue as a
function of, x, the number of years since 1990. Round three decimal
places.
(a) Find...
The data below represent the number of days absent, x, and the final grade, y, for...
The data below represent the number of days absent, x, and the
final grade, y, for a sample of college students at a large
university. Complete parts (a) through (e) below.
Number of absences, x
Final grade, y
0
88.5
1
85.6
2
82.5
3
79.9
4
76.9
5
72.4
6
62.6
7
67.1
8
64.1
9
61.1
(a) Find the least-squares regression line treating the number
of absences, x, as the explanatory variable and the final grade,
y, as...
The data below represent the number of days absent, x, and the final grade, y, for...
The data below represent the number of days absent, x, and the
final grade, y, for a sample of college students at a large
university. Complete parts (a) through (e) below.
No. of absences, x
00
11
22
33
44
55
66
77
88
99
Final grade, y
88.188.1
85.285.2
82.282.2
79.879.8
76.876.8
72.372.3
62.862.8
67.267.2
64.364.3
61.461.4
(a) Find the least-squares regression line treating the number
of absences, x, as the explanatory variable and the final grade,
y, as...
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