A professor in a university is trying to conduct a research study. His study is trying to determine if his 8 am lecture is more interactive with him than his 2 pm lecture. What is the independent variable? How many levels are there for the independent variable? What is the dependent variable?

A professor in a university is trying to conduct a research study. His study is trying to determine if his 8 am lecture is more interactive with him than his 2 pm lecture. What is the independent variable? How many levels are there for the independent variable? What is the dependent variable?

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 data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1) is the square footage, the second independent variable (x2) is the number of bedrooms, and the third independent variable (x3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 2683 3 2 107100 1889 4 212400 2602 4 8 293400 1905 3 202200 2851 115400 1916 14 304600 1920 7 153900 1634 3 8 263500 1258 4 13 189500 Copy Data Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.
A company provides maintenance service for water-filtration systems throughout southern Florida. Customers contact the company with requests for maintenance service on their water-filtration systems. To estimate the service time and the service cost, the company's managers want to predict the repair time necessary for each maintenance request. Hence, repair time in hours is the dependent variable. Repair time is believed to be related to three factors, the number of months since the last maintenance service, the type of repair problem (mechanical or electrical), and the repairperson who performed the service. Data for a sample of 10 service calls are reported in the table below. Repair Time Months Since in Hours Last Service 2.9 3.0 4.8 1.8 2.5 4.9 4.2 4.8 4.4 4.5 2 6 8 3 2 7 9 8 4 6 Type of Repair Repairperson Electrical Mechanical Electrical Mechanical Electrical Electrical Mechanical Mechanical Electrical Electrical Dave Newton ŷ = X Check which variable(s)/term(s) should be in your…
I want to know if being an athlete or not would change the resuls to the donut vs. bagel study. I have a group of athletes and non-athletes and for one month I have half of the athletes eat donuts, the other half bagels and I have half the non-athletes eat donuts, the other half bagels and measure their kindness. What analysis do I use?
The following data was collected to explore how the average number of hours a student studies per night and the student's GPA affect their ACT score. The dependent variable is the ACT score, the first independent variable (x1x1) is the number of hours spent studying, and the second independent variable (x2x2) is the student's GPA. Effects on ACT Scores Study Hours GPA ACT Score 55 44 3030 55 33 3030 44 33 2828 22 33 2222 11 22 2020 Step 1 of 2: Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places. Step 2 of 2: Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.050.05 level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise, indicate that there is not enough evidence to show that the relationship…
The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1x1) is the square footage, the second independent variable (x2x2) is the number of bedrooms, and the third independent variable (x3x3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 2823 5 1313 297100 2659 4 1313 281600 2589 3 1111 277300 2539 3 1010 276300 1954 3 55 224300 1927 3 44 215000 1785 3 33 172700 1627 2 22 172000 1133 2 22 111700 Step 1 of 2 : Find the p-value for the regression equation that fits the given data == what is the p-value for the regression equation?
A study provides data on variables that may be related to the number of weeks a manufacturing worker has been jobless. The dependent variable in the study (Weeks) was defined as the number of weeks a worker has been jobless due to a layoff. The following independent variables were used in the study. Age The age of the worker Educ The number of years of education Married A dummy variable; 1 if married, 0 otherwise Head A dummy variable; 1 if head of household, 0 otherwise Tenure The number of years on the previous job Manager A dummy variable; 1 if management occupation, 0 otherwise Sales A dummy variable; 1 if sales occupation, 0 otherwise The data are available in the file named Layoffs.MTW. Develop an estimated regression equation that can be used to predict the number of weeks a worker has been jobless due to a layoff given age, education and marital status of the worker. Develop an…
An industrial psychologist hired by a leading accounting firm wanted to know if the average number of hours worked per week at the firm was significantly different from the national average of 52 hours for accountants. The industrial psychologist randomly sampled n=16 people from different divisions within the firm, and calculated the average number of hours they worked per week over a three-month period. The dependent variable in this study is the number of hours worked per week. The data he obtained were: 54, 48, 68, 53, 60, 45, 57, 62, 71, 60, 55, 63, 68, 64, 56, 60
How can two variables be displayed in a scattergram?
A sociologist is interested in determining if those shopping at the mall tend to spend more money if they are with friends versus if they are shopping alone. She interviews 8 shoppers who regularly shop at the mall, both alone and with friends, and inquires about the following two variables: X1-amount spent when they last shopped alone and X2 amount spent when they last shopped with their friends. Below is the data she collected: Shopper X1 X2 1 35 72 10 15 3 80 100 55 90 35 55 23 58 25 25 138 210 (a) What type of test do we need to conduct and what assumptions are necessary? (b) Assuming our assumptions in (a) are valid, by hand, conduct an appropriate test of significance at 2% level of significance to determine if shoppers spend more money when they are with friends than when they are alone using a rejection region approach.
Please make sure the response is specific to the variables in this problem: Imagine that you are interested in studying the working habits of young adults. You hypothesize that persons first married in their twenties tend to work an average of 5 hours more per week than persons not first married in their twenties. After conducting a survey study, you find a relationship between participants’ age at first marriage and the number of hours worked per week. What three conditions must be satisfied for you to have established a causal connection?
Which of the following refers to the scenario in which the relationship between the dependent variable and one independent variable is different at different values of a second independent variable?
Which of the following refers to the scenario in which the relationship between the dependent variable and one independent variable is different at different values of a second independent variable?