c. Compute the column percentages (to 1 decimal).1A%DB%с%%2Icon Key%%%Totald. Describe the observed relationship between variables and y.Category A values for are - Select your answer✓associated with category 1 values for y.Category B values for- Select your answerassociated with category 1 values for y.areare - Select your answer - associated with category 2 values for y.Category C values for%C ticeThe following data are for 30 observations involving two categorical variables, and y. The categories for are A, B, and C; the categories for y are 1 and 2.ObservationObservation116217345678If your answer is "zero" enter "0".a. Develop a crosstabulation for the data, with as the row variable and y as the column variable.XABсTotalAB1сb. Compute the row percentages (to 1 decimal).Y311%2%Total2%%%Total%%%c. Compute the column percentages (to 1 decimal).9101112131415AссBсBсBAсAсBBBy22212121122211118192021222324252627282930XсBсBсBC сBAсBBAUUАссy122221211211121

The provided information is as follows:The total number of observations are .The data set is given…

Answered: The following data are for 30…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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3. You would like to determine if there is a statistical relationship between the amount of caffein in a cup of coffee and their sales at their coffee franchises. The data is included in the set "Coffee by the Cup". Here is information about the variables. Variable Caffeine Cups Sold Measurement Amount of caffeine in one cup Number of cups of the coffee Units Milligrams Cups sold sold at all of the franchises a. Which variable is the explanatory variable and which variable is the response variable? b. Construct a scatterplot of the data. Based upon the scatterplot is there a linear relationship between the amount of caffeine in one cup of the coffee and the number of cups of coffee sold? Justify your reasoning using the scatterplot. c. Run a t-test for correlation using technology. Make sure you include the p-value and the printout. According to the t-test, is there a statistical relationship between the amount of caffeine in a cup of coffee and the number of cups sold? Justify your…
B) has more than one answer .. Thank you
Suppose you have access to a database with the variables listed below. Choose two variables you are interested in exploring that may be related (a predictor and outcome). Which variable is your y (outcome) and which is your x (predictor)? *Hint: which one may predict the other? Example: hot weather may predict sunburns.
Christine is a sales manager for a car rental company. She has a scatterplot with data regarding the years of experience of sales representatives and percent of satisfied customers. What information would the scatterplot below indicate? Select all that apply. 100 90 80 70 50 40 30 20 10 1 3 5 6 7 Years of Experience of Salesperson O Satisfaction rate is the independent variable. O Satisfaction rate is the dependent variable. O Years of experience is the independent variable. O Years of experience is the dependent variable. O Christine should consider customer satisfaction training for her more novice representatives. O There is a positive correlation between years of experience and customer satisfaction. O There is a negative correlation between years of experience and customer satisfaction. O There is no correlation between years of experience and customer satisfaction. Percent of Satisfied Customers
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
Which of the following variables is not a qualitative or categorical variable? Species: Warbler, Wren, Owl, etc. Moth Type: 1 = Peppered, 2 = Melanic Moth Type: 1 = Peppered, 2 = Melanic Age at Death: 0-116
L3Q8.Find the type of relationship that exists between the two variables x and y in the scatter plot. A.Zero correlation B.Negative correlation C.Positive correlation D.None of the choices
3. Match the columns. Write your answer with the corresponding number and letter, for example, 3e. 1. secondary research 2. primary research 3. secondary data 4. primary data 5. source of secondary data a. Geodemographic information system b. Government statistics C. Search the literature d. Conduct interviews e. Completed questionnaires
For each vignette, choose the type of research that is being conducted. There is only one correct answer for each vignette. Here are your answer choices for questions 1-18 Case Study Naturalistic Observation Laboratory Observation Survey Correlation Test Experiment Longitudinal Design Cross Section Cross Sequential Design Maria wants to understand the political demographics in her community, so she creates a questionnaire asking people to identify their age, gender, political affiliation, religion and marital status. After Maria collects the abovementioned data (in question #12), she then identifies the relationships between religion and political affiliation. Kathi…
Charlotte-Mecklenburg Schools Math 1. Unit 4. Lesson 7 Student 3. Plots of the residuals for four different models of the same data set are displayed. Which of the following plots fit the data best? a. 1 2 3 2 1 3+ 1 2 3 4 5 6 7 8 9 10 b. 3 2 1 1 2 3 + ● 1 2 3 4 5 6 7 8 9 10 C. 4 3 2 1 1 2 3 4 ● 1 2 3 4 5 6 7 8 0 10 d. 3- 2 1 N 2. 3+ 1 2 3 4 5 6 7 8 9 10
1. Find the value of Q₁ for this data: 2, 4, 6, 8, 10, 12, 14 O A 4 B.5 O c.8 OD. 12
The number of household members, x, and the amount spent on groceries per week, y, are measured for six households in a local area. Draw a scatterplot of these six data points. X 2 2 3 4 1 5 у $95.75 $110.19 $118.33 $150.92 $85.86 $180.62

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