Option 24 IDZ 19.2 Collection Ryabushko:
Below is a table with the distribution of 100 factories by means of production X (thousand monetary units) and by daily output Y (t). It is known that there is a linear correlation between X and Y.
The following tasks are required:
a) Find the equation of direct regression of y on x.
b) Construct an equation for the empirical regression line and random sample points (X,Y).
Below is a table with the data:
Institution no | X, out. from ed. | Y, t |
---|---|---|
1 | 25 | 2.2 |
2 | 30 | 2.4 |
3 | 35 | 2.8 |
4 | 40 | 3.3 |
5 | 45 | 3.7 |
6 | 50 | 4.1 |
7 | 55 | 4.5 |
8 | 60 | 4.9 |
9 | 65 | 5.3 |
10 | 70 | 5.7 |
11 | 75 | 6.1 |
12 | 80 | 6.5 |
13 | 85 | 6.9 |
14 | 90 | 7.3 |
15 | 95 | 7.7 |
16 | 100 | 8.1 |
17 | 105 | 8.5 |
18 | 110 | 8.9 |
19 | 115 | 9.3 |
20 | 120 | 9.7 |
21 | 125 | 10.2 |
22 | 130 | 10.6 |
23 | 135 | 11.1 |
24 | 140 | 11.6 |
25 | 145 | 12.1 |
26 | 150 | 12.6 |
27 | 155 | 13.1 |
28 | 160 | 13.6 |
29 | 165 | 14.1 |
30 | 170 | 14.6 |
31 | 175 | 15.1 |
32 | 180 | 15.7 |
33 | 185 | 16.2 |
34 | 190 | 16.8 |
35 | 195 | 17.3 |
36 | 200 | 17.9 |
37 | 205 | 18.5 |
38 | 210 | 19.1 |
39 | 215 | 19.7 |
40 | 220 | 20.3 |
41 | 225 | 20.9 |
42 | 230 | 21.5 |
43 | 235 | 22.2 |
44 | 240 | 22.8 |
45 | 245 | 23.5 |
46 | 250 | 24.2 |
47 | 255 | 24.9 |
48 | 260 | 25.6 |
49 | 265 | 26.3 |
50 | 270 | 27.0 |
51 | 275 | 27.8 |
52 | 280 | 28.5 |
53 | 285 | 29.3 |
54 | 290 | 30.0 |
55 | 295 | 30.8 |
56 | 300 | 31.6 |
57 | 305 | 32.4 |
58 | 310 | 33.2 |
59 | 315 | 34.0 |
60 | 320 | 34.8 |
61 | 325 | 35.6 |
62 | 330 | 36.5 |
63 | 335 | 37.3 |
64 | 340 | 38.2 |
65 | 345 | 39.0 |
66 | 350 | 39.9 |
67 | 355 | 40.8 |
68 | 360 | 41.7 |
69 | 365 | 42.6 |
70 | 370 | 43.6 |
71 | 375 | 44.5 |
72 | 380 | 45.5 "Option 24 IDZ 19.2" is a digital product presented in the digital goods store. This product is a collection of problems on mathematical statistics and regression analysis, which can be useful for students and university teachers, as well as for anyone interested in these topics. The product is designed in a beautiful html format, which makes the material easier to read and understand. Inside the product you will find a table with the distribution of 100 factories by means of production X (thousand monetary units) and by daily output Y (t), as well as tasks that will help you understand the topic. With this collection you will be able to find the linear regression equation, construct the equation of the empirical regression line and random sample points (X,Y). All tasks are accompanied by detailed explanations, which makes it easy to understand the material and complete the tasks successfully. "Option 24 IDZ 19.2" is an excellent choice for those who want to improve their knowledge and skills in the field of mathematical statistics and regression analysis, as well as for those who are preparing for exams and tests. |
“Option 24 IDZ 19.2” is a collection of problems on mathematical statistics and regression analysis, which contains a table with the distribution of 100 factories by production assets X (thousand monetary units) and by daily output Y (t). It is known that there is a linear correlation between X and Y.
To solve problems, you need to complete two steps: a) find the equation of direct regression of y on x; b) construct an equation for the empirical regression line and random sample points (X, Y).
With this collection of problems you can improve your knowledge and skills in the field of mathematical statistics and regression analysis, as well as prepare for exams and tests. The collection is presented in a convenient html format with detailed explanations for each task, which makes it easier to read and understand the material.
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Option 24 IDZ 19.2 is a collection of problems in mathematical statistics, authored by Ryabushko. This collection presents a problem in which a table is given for the distribution of 100 factories by means of production X (thousand monetary units) and by daily output Y (t). It is known that there is a linear correlation between X and Y.
The problem requires finding the linear regression equation of y on x, as well as constructing the equation of the empirical regression line and random sample points (X,Y). A direct regression equation of y on x predicts values of Y based on values of X. An empirical regression line equation is used to estimate the linear relationship between X and Y based on sample data. The random sample points (X,Y) represent values obtained from measurements at each of the 100 plants.
***
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