Site | Distance (km) | Quantity (sherds/m3) |
1 | 4 | 98 |
2 | 20 | 60 |
3 | 32 | 41 |
4 | 34 | 47 |
5 | 24 |
62 |
Produce a scatterplot of these data
The scatter plot for the given data is plotted as:
The scatter-plot is plotted using python.
Site Distance (km) Quantity (sherds/m3) 1 4 98 2 20 60 3 32 41 4 34...
(1) Quantity (2) Quantity (3) Product (4) Marginal (5) Marginal of Factor X of Output Price Physical Product Revenue Product 0 20 $24 1 28 $24 (c). 2 34 $24 (A) (D) 3 37 $24 (E) 4 38 $24 (E) The dollar amounts that go in blanks (E) and (F) are, respectively, 6 and $6 $84 and $72 O $70 and $60 O $72 and $24
Use Minitab to complete:
Boxplot of Weight by Site
Boxplot of Diameter by Site
Boxplot of Height by Site
Scatterplot of Weight by D2H
Dian eter Height 2. 23 2. 12 1.06 2. 12 2.99 4.01 2. 41 2. 75 2. 20 4.09 3.62 Teight 3. 76 3. 15 1. 85 3.64 4.64 5. 25 4. 07 4. 72 0. 15 0.02 0. 16 5 0.73 0.22 0. 30 0. 19 0. 78 0. 60 1.11 0. 04 0. 32...
1) Quantity (2) Quantity (3) Product (4) Marginal (5) Marginal of Factor X of Output Price Physical Product Revenue Product O 20 $24 1 28 $24 (c) 2 34 $24 (A) (D) 3 37 $24 (B) (E) 4 38 $24 (E) If firm is a factor price taker and ongoing price of Factor X is $20, how many units of Factor X this firm should hire to maximize profit? O 2 4 O 1 3
Write a python nested for loop that prints out the following pattern 100 99 98 97 96 95 94 93 92 91 90 89 88 87 86 85 84 83 82 81 80 79 78 77 76 75 74 73 72 71 70 69 68 67 66 65 64 63 62 61 60 59 58 57 56 55 54 53 52 51 50 49 48 47 46 45 44 43 42 41 40 39 38 37 36 35 34 33...
distance injury non injury total odds ratio 0-1 km 130 65 195 1-2 km 20 10 30 2-4 km 36 19 55 4-6 km 24 11 35 total 210 105 315 Find the odds ratio. Use the Chi-Square Statistic to test the association between bike injury and distance to urban area. Interpret your resulting Chi-Square Statistic and show work.
Quarter Year1 Year 2 Year 3 71 49 58 76 68 41 60 78 62 51 53 רך 2 4 a. Choose a time series plot. 2 TimeSeries Value 6 0 40 20 TimePeriod (t) 2 TimeSeries Value 60 4 0 20 TimePeriod(t) 3 TimeSeries Value 60 4 20 TimePeriod(t) 4 TimeSeries Value 0 0 20 TimePeriod (t) Select your answer What type of pattern exists in the data? - Select your answer rl uarteră, otherwise: is b. Use the...
8. Examine the following quarterly data: Quarter 11 Quarter 2 2 Quarter 3 3 15 26 20 12 34 51 Quarter 44 Quarter 1 5 Quarter 2 6 Quarter 3 7 Quarter 4 8 Quarter 1 9 Quarter 2 1 38 62 Quarter 311 Quarter 4 12 84 Calculate the seasonal indexes for each quarter. a. Quarter 1 Quarter 2 Quarter 3 Quarter 4 b. Deseasonalize the time series. Produce the trend line using the deseasonalized data. Produce seasonaly adjusted...
(1) Quantity (2) Quantity (3) Product (4) Marginal (5) Marginal of Factor X of Output Price Physical Product Revenue Product 0 20 $24 1 28 $24 (C) 34 $24 N (A) (D). 3 37 $24 (B) (E) 4 38 $24 (E) The dollar amounts that go in blanks (C) and (D) are, respectively, O $190 and $270 O $90 and $80 O $8 and $8 O $192 and $144.
#2 and #4 only
x 31 32 33 34 35 4. Construct the data frequency table for the fl1 5 6 4 2 following data set. . List all the measurements for the data set represented by the following data frequency table. x197 98 99 100 10 102 103 105
Sample Data Sample Data Hour Sample Taken Hour Sample Taken 1 4 5 X 1 3 1 42 2 3 4 5 6 2 39 36 25 60 28 53 22 56 41 34 43 45 59 42 36 40 45 39 48 26 42 34 61 48 45 29 3 31 61 38 40 54 26 38 42 37 41 53 37 47 41 37 29 20 26 43 38 33 37 37 35 33 36 41 25 37...