Question

The table below shows the murder rate per 100,000 residents for a large American city over a twelve-year period.

Year | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 |
---|---|---|---|---|---|---|---|---|---|---|---|---|

Rate | 8.8 | 7.1 | 7.2 | 6.8 | 6.4 | 7.1 | 5.8 | 6.1 | 5.4 | 6.2 | 6.1 | 4.9 |

Enter the coefficients of the regression line for this data, rounding each to two decimal places: | ||||

Slope: | Intercept: | |||

Use your regression line (with rounded coefficients) to estimate this city’s murder rate in 2012. Round your answer to the nearest tenth. | ||||

Estimate: |

Answer #1

Sum of *X* = 24066

Sum of *Y* = 77.9

Mean *X* = 2005.5

Mean *Y* = 6.4917

Sum of squares (*SS _{X}*) = 143

Sum of products (

Regression Equation = ŷ =

ŷ = -0.24

Slope: -0.24 Intercept:484.03

For x=2012

ŷ = (-0.24**2012)* + 484.03=1.15

The table below shows per capita cheese consumption, in pounds,
for several years for one American state.
Year
2000
2001
2002
2003
2004
2006
2007
2008
2009
Cheese Consumed
26.1
26.8
28.2
28.8
29.8
29.6
31
30.8
32.1
Which of the following is the equation of the regression line
for this data?
A. y=−0.595x+1163.4
B. y=1163.4x−0.595
C. y=0.595x−1163.4
D. y=0.595x+1163.4
E. y=1163.4x+0.595
F. y=−0.595x−1163.4
Using the regression line, estimate the per-capita
consumption in 2005 to the nearest tenth of a...

Estimate the following simple regression models (using the given
data)
Male Labor Participation = β0 + β1*Average Hourly Earnings +
ei
Female Labor Participation = β0 + β1*Average Hourly Earnings +
ei
Interpret the estimated parameters of the above two regression
models
Year
CLFPRM
CLFPRF
UNRM
UNRF
AHE
1980
77.4
51.5
6.9
7.4
6.8
1981
77.0
52.1
7.4
7.9
7.4
1982
76.6
52.6
9.9
9.4
7.9
1983
76.4
52.9
9.9
9.2
8.2
1984
76.4
53.6
7.4
7.6
8.5
1985
76.3...

Year
Unemployment rate
gdp growth
cpi
inflation rate
1980
7.2
-0.2
87
1981
7.6
2.6
94
8.05
1982
9.7
-1.9
97.6
3.83
1983
9.6
4.6
101.3
3.79
1984
7.5
7.3
105.3
3.95
1985
7.2
4.2
109.3
3.80
1986
7.0
3.5
110.5
1.10
1987
6.2
3.5
115.4
4.43
1988
5.5
4.2
120.5
4.42
1989
5.3
3.7
126.1
4.65
1990
5.6
1.9
133.8
6.11
1991
6.9
-0.1
137.9
3.06
1992
7.5
3.6
141.9
2.90
1993
6.9
2.7
145.8
2.75
1994
6.1
4.0...

The table provided presents data related to the level of
personal consumption expenses of the Puerto Rican population for
the period from 2001 to 2017, real data. We are interested in
identifying the best statistical relationship between the level of
personal consumption expenses with the level of the inflation rate
and total employment.
Personal Consumption Expenses
Total Employment
Rate of Inflation
Y
X
W
2001
37,590.30
1,144
2.70
2002
38,844.90
1,152
-1.00
2003
40,973.40
1,188
1.90
2004
43,396.00
1,206
0.90...

The table provided presents data related to the level of
personal consumption expenses of the Puerto Rican population for
the period from 2001 to 2017, real data. We are interested in
identifying the best statistical relationship between the level of
personal consumption expenses with the level of the inflation rate
and total employment.
Personal Consumption Expenses
Total Employment
Rate of Inflation
Y
X
W
2001
37,590.30
1,144
2.70
2002
38,844.90
1,152
-1.00
2003
40,973.40
1,188
1.90
2004
43,396.00
1,206
0.90...

Year-Year Percent Change in Commodities CPI
Year-Year Percent Change in Services CPI
Year
Commodities%
Services%
1960
0.9
3.4
1961
0.6
1.7
1962
0.9
2.0
1963
0.9
2.0
1964
1.2
2.0
1965
1.1
2.3
1966
2.6
3.8
1967
1.9
4.3
1968
3.5
5.2
1969
4.7
6.9
1970
4.5
8.0
1971
3.6
5.7
1972
3.0
3.8
1973
7.4
4.4
1974
11.9
9.2
1975
8.8
9.6
1976
4.3
8.3
1977
5.8
7.7
1978
7.2
8.6
1979
11.3
11.0
1980
12.3
15.4
1981
8.4...

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