(c) Plot each data set along with the regression line and comment on your results. (d) Data set 3 appears to contain an outlier. Remove the apparent out- lier and reanalyze the data using a linear regression. Comment on your result. (e) Briefly comment on the importance of visually examining your

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Part c, d, and e please
9.96
7.24
4.26
0.84
4.82
5.68
8.10
6.13
3.10
9.13
7.26
4.74
8.84
6.08
5.39
8.15
6.42
5.73
(a) An unweighted linear regression analysis for the three data sets gives
nearly identical results. To three significant figures, each data set
has a slope of 0.500 and a y-intercept of 3.00. The standard devia-
tions in the slope and the y-intercept are 0.118 and 1.125 for each
data set. All three standard deviations about the regression are 1.24.
Based on these results for a linear regression analysis, comment on
the similarity of the data sets.
(b) Complete a linear regression analysis for each data set and verify
that the results from part (a) are correct. Construct a residual plot
for each data set. Do these plots change your conclusion from part
(a)? Explain.
(c) Plot each data set along with the regression line and comment on
your results.
(d) Data set 3 appears to contain an outlier. Remove the apparent out-
lier and reanalyze the data using a linear regression. Comment on
your result.
(e) Briefly comment on the importance of visually examining your
data.
13. Fanke and co-workers evaluated a standard additions method for a
voltammetric determination of Tl. 16 A summary of their results is tabu-
Transcribed Image Text:9.96 7.24 4.26 0.84 4.82 5.68 8.10 6.13 3.10 9.13 7.26 4.74 8.84 6.08 5.39 8.15 6.42 5.73 (a) An unweighted linear regression analysis for the three data sets gives nearly identical results. To three significant figures, each data set has a slope of 0.500 and a y-intercept of 3.00. The standard devia- tions in the slope and the y-intercept are 0.118 and 1.125 for each data set. All three standard deviations about the regression are 1.24. Based on these results for a linear regression analysis, comment on the similarity of the data sets. (b) Complete a linear regression analysis for each data set and verify that the results from part (a) are correct. Construct a residual plot for each data set. Do these plots change your conclusion from part (a)? Explain. (c) Plot each data set along with the regression line and comment on your results. (d) Data set 3 appears to contain an outlier. Remove the apparent out- lier and reanalyze the data using a linear regression. Comment on your result. (e) Briefly comment on the importance of visually examining your data. 13. Fanke and co-workers evaluated a standard additions method for a voltammetric determination of Tl. 16 A summary of their results is tabu-
significance level as in the original problem.
12. Consider the following three data sets, each of which gives values of y
for the same values of x.
X
10.00
8.00
13.00
9.00
11.00
14.00
6.00
4.00
12.00
7.00
5.00
Analytical Chemistry 2.1
Data Set 1 Data Set 2 Data Set 3
1/2
V3
9.14
7.46
8.14
6.77
8.74
12.74
8.77
7.11
9.26
7.81
8.10
8.84
6.13
6.08
3.10
5.39
9.13
8.15
7.26
6.42
4.74
5.73
31
8.04
6.95
7.58
8.81
8.33
9.96
7.24
4.26
10.84
4.82
5.68
(a) An unweighted linear regression ana
nearly identical results. To three si
has a slope of 0.500 and a y-interce
tions in the slope and the y-intercep
data set. All three standard deviation
Based on these results for a linear re
the similarity of the data sets.
(b) Camalı
1:
Transcribed Image Text:significance level as in the original problem. 12. Consider the following three data sets, each of which gives values of y for the same values of x. X 10.00 8.00 13.00 9.00 11.00 14.00 6.00 4.00 12.00 7.00 5.00 Analytical Chemistry 2.1 Data Set 1 Data Set 2 Data Set 3 1/2 V3 9.14 7.46 8.14 6.77 8.74 12.74 8.77 7.11 9.26 7.81 8.10 8.84 6.13 6.08 3.10 5.39 9.13 8.15 7.26 6.42 4.74 5.73 31 8.04 6.95 7.58 8.81 8.33 9.96 7.24 4.26 10.84 4.82 5.68 (a) An unweighted linear regression ana nearly identical results. To three si has a slope of 0.500 and a y-interce tions in the slope and the y-intercep data set. All three standard deviation Based on these results for a linear re the similarity of the data sets. (b) Camalı 1:
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