11. When appropriate, refer to the StatCrunch analysis for this problem. It is desired to relate the weight of discarded plastic (in pounds) in a week by households to the size (number of people) of the household. A random sample of 8 households in a sub-division was selected and their size and the weight of discarded plastic were recorded. Row Plastic HouseSize 0.3 1.4 2.2 2. 3. 3 4. 2.8 2.2 1.8 0.8 3.1 A. Report the prediction equation relating the amount of discarded plastic to household size, and carefully interpret the intercept and slope in the context of the problem. Fted ine plot Plastic 25 21 B. Is the weight of discarded plastic linearly related to the household size? Test using a .01 level of significance. 1.5 05 C. Carefully interpret R-squared to assess the strength of the linear relationship. HouseSe D. If appropriate, approximate the mean weekly amount of discarded plastic among households with 8 members, using 95% confidence Correlation between Plastic and HouseSize is: 0.8449 (0.0083) E. Repeat part D for households with 4 members, using 95% confidence. ( Simple linear regression results: Dependent Variable: Plastic Independent Variable: HouseSize Plastic 0.25 +0.485 HouseSize Sample size: 8 R (correlation coefficient) - 0.845 R-sq -0.714

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E. Repeat part D for households with 4 members,
using 95% confidence.)
Simple linear regression results:
Dependent Variable: Plastic
Independent Variable: HouseSize
Plastic 0.25+0.485 HouseSize
Sample size: 8
R (correlation coefficient) 0.845
R-sq = 0.714
Estimate of error standard deviation: 0.55307995
Parameter estimates:
Parameter Estimate Std. Err. DF T-Stat P-value
Intercept
0.25
0.4516
6 0.5536
0.5999
Slope
0.485
0.1252
6.
3.869
0.0083
Predicted values:
X value Pred. Y s.e.(Pred. y) 95% C.L
95% P.I.
8.
4.126923
0.6262397 (2.59, 5.66) (2.08, 6.17)
Predicted values:
X value
Pred. Y
s.e.(Pred. y) 95% C.I.
95% P.I.
4
2.1884615 0.21693581 (1.66, 2.72) (0.73, 3.64)
Transcribed Image Text:E. Repeat part D for households with 4 members, using 95% confidence.) Simple linear regression results: Dependent Variable: Plastic Independent Variable: HouseSize Plastic 0.25+0.485 HouseSize Sample size: 8 R (correlation coefficient) 0.845 R-sq = 0.714 Estimate of error standard deviation: 0.55307995 Parameter estimates: Parameter Estimate Std. Err. DF T-Stat P-value Intercept 0.25 0.4516 6 0.5536 0.5999 Slope 0.485 0.1252 6. 3.869 0.0083 Predicted values: X value Pred. Y s.e.(Pred. y) 95% C.L 95% P.I. 8. 4.126923 0.6262397 (2.59, 5.66) (2.08, 6.17) Predicted values: X value Pred. Y s.e.(Pred. y) 95% C.I. 95% P.I. 4 2.1884615 0.21693581 (1.66, 2.72) (0.73, 3.64)
11. When appropriate, refer to the StatCrunch analysis
for this problem. It is desired to relate the weight of
discarded plastic (in pounds) in a week by households
to the size (number of people) of the household. A
random sample of 8 households in a sub-division was
selected and their size and the weight of discarded
plastic were recorded.
Row
Plastic HouseSize
0.3
1.4
2.2
2.8
2.2
2.
4
6
1.8
0.8
3.1
A. Report the prediction equation relating the amount
of discarded plastic to household size, and
carefully interpret the intercept and slope in the
context of the problem.
Fted line plot
Plastic
31
25
21
B. Is the weight of discarded plastic linearly related to
the household size? Test using a .01 level of
significance.
1.5
11
05
C. Carefully interpret R-squared to assess the strength
of the linear relationship.
4.
HouseSze
D. If appropriate, approximate the mean weekly
amount of discarded plastic among households
with 8 members, using 95% confidence
Correlation between Plastic and HouseSize is:
0.8449 (0.0083)
E. Repeat part D for households with 4 members,
using 95% confidence. (
Simple linear regression results:
Dependent Variable: Plastic
Independent Variable: HouseSize
Plastic - 0.25+0.485 HouseSize
Sample size: 8
R (correlation coefficient) - 0.845
R-sq - 0.714
Transcribed Image Text:11. When appropriate, refer to the StatCrunch analysis for this problem. It is desired to relate the weight of discarded plastic (in pounds) in a week by households to the size (number of people) of the household. A random sample of 8 households in a sub-division was selected and their size and the weight of discarded plastic were recorded. Row Plastic HouseSize 0.3 1.4 2.2 2.8 2.2 2. 4 6 1.8 0.8 3.1 A. Report the prediction equation relating the amount of discarded plastic to household size, and carefully interpret the intercept and slope in the context of the problem. Fted line plot Plastic 31 25 21 B. Is the weight of discarded plastic linearly related to the household size? Test using a .01 level of significance. 1.5 11 05 C. Carefully interpret R-squared to assess the strength of the linear relationship. 4. HouseSze D. If appropriate, approximate the mean weekly amount of discarded plastic among households with 8 members, using 95% confidence Correlation between Plastic and HouseSize is: 0.8449 (0.0083) E. Repeat part D for households with 4 members, using 95% confidence. ( Simple linear regression results: Dependent Variable: Plastic Independent Variable: HouseSize Plastic - 0.25+0.485 HouseSize Sample size: 8 R (correlation coefficient) - 0.845 R-sq - 0.714
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