data set
| Nicotine (Y) | Tar (X1) | CO (X2) |
| 0.8 | 13 | 18 |
| 0.8 | 13 | 18 |
| 0.2 | 1 | 2 |
| 1.1 | 18 | 17 |
| 1 | 16 | 18 |
| 1.1 | 15 | 18 |
| 1.2 | 15 | 14 |
| 1.1 | 15 | 15 |
| 0.9 | 14 | 15 |
| 0.9 | 14 | 14 |
Homework Answers
The accompanying table Multinat Becession provide data fortar, nicotine and carbon monoxide contents in a certain...
The accompanying table Multinat Becession provide data fortar, nicotine and carbon monoxide contents in a certain brand of cigarette. All measurements are in milligramma Parta) Run the Multirear Regression Analysis in Excel with both predictor varubies. What is the adusted value to the nearest hundredth of a percent (e. 45.67 Adjusted 2- Part by What is the p value for the full modell Round answer to nearest thousandth of a percent. 0,123 Model Part c) What are the p values...
Tar 25 27 20 24 20 20 21 24 CO 18 16 16 16 16 16...
Tar 25 27 20 24 20 20 21 24 CO 18 16 16 16 16 16 14 17 Nicotine 1.5 1.7 1.1 1.6 1.1 1.0 1.2 1.4 Cigarette Tar and Carbon Monoxide Refer to the table of data given in Exercise 1 and use the amounts of tar and carbon monoxide. a. Construct a scatterplot using the horizontal scale to represent the amount of tar. What does the scatterplot suggest? b. Does the scatterplot show eight points corresponding to the...
Use this file to answer the following questions: 1. what is the p-value to test whether...
Use this file to answer the following questions:
1. what is the p-value to test whether there is a significant
relationship between the variables?
2. Based on the estimated line, approximately what audit
percentage would you predict at an average gross income of
35000?
3. what average gross income is associated with an audit
percentage of 0.7?
4. what is the slope of the estimated regression line?
5. what is the coefficient of determination?
A B с 1 1 District...
6.Use Exponential smoothing forecasts with alpha of 0.1, 0.2, ..., 0.9 to predict March 2019 demand....
6.Use Exponential smoothing forecasts with alpha of 0.1, 0.2, ..., 0.9 to predict March 2019 demand. Identify the value of alpha that results in the lowest MAD. 7.Find the monthly seasonal indices for the demand values using Simple Average (SA) method. Find the de-seasonalized demand values by dividing monthly demand by corresponding seasonal indices. 8.Use regression to perform trend analysis on the de-seasonalized demand values. Is trend analysis suitable for this data? Find MAD and explain the Excel Regression output...
Wins Data B C A Three-Point Field Goal % Field Goal % 1 Wins 38.9 56...
Wins Data B C A Three-Point Field Goal % Field Goal % 1 Wins 38.9 56 45.3 2 43.2 33.8 3 43 32.4 49 45.5 4 30.6 42.5 34 47 36.5 44.7 47 36.1 44.8 8 70 47.9 39,7 42 42.8 33.5 10 51 44.5 35.6 11 65 47.2 38.3 12 43.6 34.6 44 13 41 42.7 34,9 14 60 46.3 36.5 15 39 43.2 34.7 16 54 45.1 33.5 17 63 46.9 34.1 18 51 45.2 35.2 19 56...
INN MARGIN ROOMS NEAREST OFFICE COLLEGE INCOME DISTTWN 1 44.2 3471 2.1 523 12 35 9.4...
INN
MARGIN
ROOMS
NEAREST
OFFICE
COLLEGE
INCOME
DISTTWN
1
44.2
3471
2.1
523
12
35
9.4
2
29.8
3567
1.8
140
13.5
42
5.7
3
38.4
3264
1.6
404
22.5
45
4.4
4
54.4
3234
1.1
649
19.5
35
6.5
5
34.5
2730
4
171
17
41
10.5
6
44.9
3003
3.4
402
15.5
37
4.6
7
46
2341
2
580
23
45
7.4
8
50.2
3021
2.6
572
8.5
33
9.3
9
46
2655
3.2
666
22
40
6.7...
INN MARGIN ROOMS NEAREST OFFICE COLLEGE INCOME DISTTWN 1 61 3203 0.1 549 8 37 12.1 2 34 2810 1.5 496 17.5 39 0.4...
INN
MARGIN
ROOMS
NEAREST
OFFICE
COLLEGE
INCOME
DISTTWN
1
61
3203
0.1
549
8
37
12.1
2
34
2810
1.5
496
17.5
39
0.4
3
46
2890
1.9
254
20
39
12.2
4
31.9
3422
1
434
15.5
36
2.7
5
57.4
2687
3.4
678
15.5
32
7.9
6
47.5
3080
2.4
488
13.5
31
6.7
7
54.4
2756
1.1
832
14.5
35
6.9
8
46.2
2244
0.7
496
15.5
38
8.9
9
54.1
2862
1.4
809
16.5
33
3...
All Greens is a franchise store that sells house plants and lawn and garden supplies. Although All Greens is a franchise, each store is owned and managed by private individuals. Some friends have aske...
All Greens is a franchise store that sells house plants and lawn and garden supplies. Although All Greens is a franchise, each store is owned and managed by private individuals. Some friends have asked you to go into business with them to open a new All Greens store in the suburbs of San Diego. The national franchise headquarters sent you the following information at your request. These data are about 27 All Greens stores in California. Each of the 27...
23:01 4G Midterm Econometrics II Semester 1 2.. 1 You are given data on price and...
23:01 4G Midterm Econometrics II Semester 1 2.. 1 You are given data on price and quality of cocaine. You believe that the quality of cocaine affects the price, so you ran the following regression: The STATA output storage display valuc name type foemat l label variable label flat %9.0g float %9.0g float %9.0g float %9.0g peice per gram in dollars foe a cocaine number of grams of cocaine in a give quality of the cocaine expressed as a time...
The accompanying table Multinat Becession provide data fortar, nicotine and carbon monoxide contents in a certain brand of cigarette. All measurements are in milligramma Parta) Run the Multirear Regression Analysis in Excel with both predictor varubies. What is the adusted value to the nearest hundredth of a percent (e. 45.67 Adjusted 2- Part by What is the p value for the full modell Round answer to nearest thousandth of a percent. 0,123 Model Part c) What are the p values...
Use this file to answer the following questions:
1. what is the p-value to test whether there is a significant
relationship between the variables?
2. Based on the estimated line, approximately what audit
percentage would you predict at an average gross income of
35000?
3. what average gross income is associated with an audit
percentage of 0.7?
4. what is the slope of the estimated regression line?
5. what is the coefficient of determination?
A B с 1 1 District...
Wins Data B C A Three-Point Field Goal % Field Goal % 1 Wins 38.9 56 45.3 2 43.2 33.8 3 43 32.4 49 45.5 4 30.6 42.5 34 47 36.5 44.7 47 36.1 44.8 8 70 47.9 39,7 42 42.8 33.5 10 51 44.5 35.6 11 65 47.2 38.3 12 43.6 34.6 44 13 41 42.7 34,9 14 60 46.3 36.5 15 39 43.2 34.7 16 54 45.1 33.5 17 63 46.9 34.1 18 51 45.2 35.2 19 56...
INN
MARGIN
ROOMS
NEAREST
OFFICE
COLLEGE
INCOME
DISTTWN
1
44.2
3471
2.1
523
12
35
9.4
2
29.8
3567
1.8
140
13.5
42
5.7
3
38.4
3264
1.6
404
22.5
45
4.4
4
54.4
3234
1.1
649
19.5
35
6.5
5
34.5
2730
4
171
17
41
10.5
6
44.9
3003
3.4
402
15.5
37
4.6
7
46
2341
2
580
23
45
7.4
8
50.2
3021
2.6
572
8.5
33
9.3
9
46
2655
3.2
666
22
40
6.7...
INN
MARGIN
ROOMS
NEAREST
OFFICE
COLLEGE
INCOME
DISTTWN
1
61
3203
0.1
549
8
37
12.1
2
34
2810
1.5
496
17.5
39
0.4
3
46
2890
1.9
254
20
39
12.2
4
31.9
3422
1
434
15.5
36
2.7
5
57.4
2687
3.4
678
15.5
32
7.9
6
47.5
3080
2.4
488
13.5
31
6.7
7
54.4
2756
1.1
832
14.5
35
6.9
8
46.2
2244
0.7
496
15.5
38
8.9
9
54.1
2862
1.4
809
16.5
33
3...
23:01 4G Midterm Econometrics II Semester 1 2.. 1 You are given data on price and quality of cocaine. You believe that the quality of cocaine affects the price, so you ran the following regression: The STATA output storage display valuc name type foemat l label variable label flat %9.0g float %9.0g float %9.0g float %9.0g peice per gram in dollars foe a cocaine number of grams of cocaine in a give quality of the cocaine expressed as a time...
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