The following data are for 30 observations involving two categorical variables, x and y . The categories for x are A, B, and C; the categories for y are 1 and 2. Observationxy Observationxy1A1 16C12C2 17B23C2 18C24B1 19B25C2 20C26B1 21B17C2 22C28B1 23B19A1 24A110C2 25C211A2 26B112C2 27B113B1 28A114B1 29C215B1 30C1 If your answer is "zero" enter "0".a. Develop a crosstabulation for the data, with x as the row variable and y as the column variable.XAXBCTotalAB1b. Compute the row percentages (to 1 decimal).CY12%%%2Total%%%2%do doc. Compute the column percentages (to 1 decimal).%TotalY1A%#B%C%Total%d. Describe the observed relationship between variables and y.Category A values for x are - Select your answer - ✓associated with category 1 values for y.%%%do do%% d. Describe the observed relationship between variables and y.Category A values for x are - Select your answer - ✓associated with category 1 values for y.Category B values for x are - Select your answer ✓associated with category 1 values for y.Category C values for x are - Select your answer - associated with category 2 values for y.

As per our guidelines I can solve only first 3 subparts. Post the remaining subparts again and…

If your answer is "zero" enter a. Develop a crosstabulation for the data, with as the row variable and y as the column variable. x x A B x с Total A b. Compute the row percentages (to 1 decimal). B C A B 1 с Total Y 1 Y % % % 2 % % % c. Compute the column percentages (to 1 decimal). % Y 2 Total 2 % % % % % % Total % % % % d. Describe the observed relationship between variables and y. Category values for care Select your answer - associated with category 1 values for y.

If your answer is "zero" enter a. Develop a crosstabulation for the data, with as the row variable and y as the column variable. x x A B x с Total A b. Compute the row percentages (to 1 decimal). B C A B 1 с Total Y 1 Y % % % 2 % % % c. Compute the column percentages (to 1 decimal). % Y 2 Total 2 % % % % % % Total % % % % d. Describe the observed relationship between variables and y. Category values for care Select your answer - associated with category 1 values for y.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The following table shows the weekly sales, test scores & achievement ratings of 5 salespersons working for a local car dealership: Salesperson Weekly Sales (Y) Sales Aptitude Test Score (x1) Mechanical Achievement (x2) Walters 11 10 6 Sullivan 5 4 2 Obmer 8 1 4 Smith 12 7 5 Jones 4 3 1 Brown 6 5 3 Black 7 2 2 Calculate the multiple correlation coefficient.. Select one: a. 0.925 b. 0.952 c. 0.295 d. 0.592
a. Is there a main effect of Drug Dose? Explain. b. Is there a main effect of Sex? Explain. c. Is there an interaction between Sex and Drug Dose? Explain.
8.
Problem The following data are for 30 observations involving two categorical variables, x and y. The categories for x are A, B, and C; the categories for y are 1 and 2. Show steps in Excel. a. Develop a crosstabulation for the data, with x as the row variable and y as the column variable. b. Compute the row percentages. c. Compute the column percentages. d. What is the relationship, if any, between x and y? Observation x y 1 A 1 2 B 1 3 B 1 4 C 2 5 B 1 6 C 2 7 B 1 8 C 2 9 A 1 10 B 1 11 A 1 12 B 1 13 C 2 14 C 2 15 C 2 16 B 2 17 C 1 18 B 1 19 C 1 20 B 1 21 C 2 22 B 1 23 C 2 24 A 1 25 B 1 26 C 2 27 C 2 28 A 1 29 B 1 30 B 2
4. Consider the following data: XINMASSN 1 2 3 4 5 6 7 y 6 7 5 4 3 1 2 a) Make a scatterplot of these data. The variable labeled "x" should be plotted along the x-axis. Describe the pattern. b) Find the correlation coefficient for these data.
For the following pairs of data points (10, 100), (8, 120), (5, 200), (4, 200), (10, 90), (7, 110), and (6, 150), the value of bo is a. 186.9657 O b. 268.6957 С. 286.5769 O d. 168.6957
We discuss how to test for an association between two categorical variables in Section 6.8. A marine research team records the number of fish from 3 species that they find at different depth categories in the ocean. They are interested in assessing whether or not there is a relationship between the depth category (close to surface, mid-level, ocean floor) and the fish species found (species A, species B, species C). A two-way table showing the classification of a sample of 150 observations is given below. If the variables for the ocean depth category and the species are independent, how would you calculate the expected number of fish that are at the mid-level and from species C? Expected number =
Given are five observations for two variables, x and y. 11 9. 22 18 Yi 59 48 54 13 21 a. Choose the correct scatter diagram for these data: A. y y 60 60 50 50 40 40 30 30 -20 20 10+ 10 10 20 30 40 50 60 X 10 20 30 40 50 60 x C. D. y y 60 60 50 50 40 40 30 30 B.
1. X and Y are two categorical variables. The best way to determine if there is a relation between them is to a. calculate the correlation between X and Y. b. draw a scatterplot of the X and Y values c. make a two-way table of the X and Y values d. all of the above
The following observations are for two quantitative variables, and y. Observation Observation 1 27 63 11 21 81 2 24 100 12 85 24 3 58 53 13 67 39 4 73 38 14 15 99 TITI 5 48 62 15 82 37 6 88 23 16 32 63 7 30 47 17 44 56 8 10 93 18 54 64 9 66 46 19 31 27 10 61 52 20 30 28 If your answer is "zero", enter "0". a. Develop a crosstabulation for the data, with as the row variable and y as the column variable. For use classes of 10 - 29, 30-49, and so on; for y use classes of 20 - 39, 40-59, and so on. y x 80-100 Grand Total 20 - 39 40 - 59 60 - 79 X X X 10-29 X X X X 30-49 X X X X X 50-69 X X X X 70 - 90 Grand Total b. Compute the row percentages (to 1 decimal). Y I 20 - 39 40-59 80 - 100 Grand Total X% 10-29 30-49 X% % % 50 - 69 X % *% 70-90 c. Compute the column percentages (to 1 decimal). Y 20 - 39 40 - 59 *% 10 - 29 % 30-49 50 - 69 70 - 90 Grand Total % 1% % % *% 60 - 79 % % 1% % ¹% X % % X. % % 60 - 79 X. % *% X% % % X% X % *% % 80-100 * % % % 1% X% % *% 1% %
. Differentiate between correlation vs. causation. When two variables are correlated (such as strength and running speed), they are associated with one another. Explain how, even if there is a correlation between the two, one might not cause the other. Provide an example of an association between variables where a causal relationship makes sense conceptually. Why can't correlations be used as a tool to prove a causal relationship between variables rather than just an association?