What are the explanatory variable and responseCell phone production engineers have noticed thatamong a group of 138 customers aged 14-23 whosend more text messages tend to use a highervariable for this relationship?Explanatory variable: age of customerResponse variable: percentage of phone memorypercentage of their phone's memory.usedExplanatory variable: percentage of phone memoryusedResponse variable: age of customerExplanatory variable: number of text messages sentResponse variable: percentage of phone memoryusedExplanatory variable: percentage of phone memoryusedResponse variable: number of text messages sentMark this and returnSave and ExitNextSubmit

The explanatory variable is the variable which is changed or manipulated in a study. It is also…

Answered: What are the explanatory variable and…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 23PPS

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The data used for this assignment was extracted from a NBC News website story that appeared on September 27, 2013. The story was written for National Coffee Day and describes the nutritional content of gourmet coffee beverages such as cappuccinos and lattes sold at popular coffee shops like Dunkin' Donuts, Starbucks, and Mcdonald's. Which variable, sugar content or number of calories is the explanatory variable? According the scatterplot, does there appear to be strong, moderate, or weak correlation between the two variables? According to the scatterplot, does the correlation appear to be positive or negative? According to the scatterplot, does the correlation appear to be linear or nonlinear?
Is there a difference in the level of parenting stress with one child compared to two or more children? What is the independent variable and dependent variable in this question?
The manager Concerned about her current customer base, manager Andersen started to think of factors that might affect the attractiveness of an auditing firm. Of course, the service quality provided and the fees charged by the auditor seem two important factors. Next, she decides that the reputation of the auditing firm also needs to be included in the framework as an independent variable. As illustrated by the dramatic effects of recent auditing scandals, reputation seems especially important for large auditors (i.e., auditing firms that are large in size). Finally, manager Andersen also thinks that the proximity of the auditing firm to the customer is another variable to be included as an independent variable. Proximity very likely affects the possibility for the client to personally meet with the auditors on a regular basis and she knows from her own contact with customers that they perceive personal interactions as quite important. Consider the above scenario shown; answer the…
What type of analysis and descriptive statistics should be conducted to best depict the relationship between the following variables? Also, specify the type of variable in each question ( such as nominal, ordinal, continuous, etc) and which is the independent and dependent variable in each question. the association between the number of hours in the operating room and the number of hours on a bypass pump? the relationship between the number of days in the ICU and gender?
Researcher asked waitresses to wear different colored T-shirts on different days for a six-week period and recorded the tips left by male customers. The results show that male customers gave significantly bigger tips to waitresses when there were wearing red. For this study, identify the independent and dependent variable (two answers)?
A Midwest college admissions committee recently conducted a study to determine the relative debt incurred by students receiving their degrees in four years versus those taking more than four years. Some on the committee speculated a four-year student would likely be attending full time, whereas one taking more than four years could have a part-time job. However, average total debt provides only part of the information. Since the average, or mean, is affected by both large and small values, the committee also needed some way to determine the relative variances for the two groups. Samples of size 20 produced standard deviations of 2,636 for four-year graduates and 1,513 for those taking more than four years. Conduct a test of hypothesis to determine if the standard deviation of the debt for four-year graduates is larger than those taking more than four years. Use a significance level of 0.05.
A survey conducted by a research team was to investigate how the education level, tenure in current employment, and age, are related to annual income. A sample 20 emloyees is selected and the data is given below. 1. Which variable has significant relationship with income at 0.05 level of significance?
Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, noshows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system (pressherald.com). However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their name on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x) and actual waiting time (dependent variable y). The estimated regression equation is: y=4.35+8.81x and MSE=94.4236.
Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, noshows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system (pressherald.com). However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their name on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x ) and actual waiting time (dependent variable y ). The estimated regression equation is: Y=7.82+8.84x and MSE= 113.9197. Number of Customers Waiting Time (Minutes) 4 58 3 38 5 37 4 45 7 73 5 42 8 83 4 54 7 70 4 29 a. Develop a point estimate for a customer who arrive with three people on the wait-list (to decimal). _______minutes b. Develop a confidence interval for the mean waiting time for a…

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