Provide an appropriate response.Suppose you were to collect data for the pair of given variables in order to make a scatterplot. For the variables time spent on homework and examgrade, which is more naturally the response variable and which is the explanatory variable?O Time spent on homework: response variableExam grade: explanatory variableO Time spent on homework: explanatory variableExam grade: response variable

The Explanatory variable explains the change in the Response Variable that it causes. The…

Answered: Provide an appropriate response.…

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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Five students taking a Business Statistics module at MANCOSA were asked to provide an example of a variable they have encountered in their day-to-day life. Their responses are as follows: Student Lungani Nsika Thembekile Mduduzi Variable The body temperature of a patient diagnosed with COVID-19 The price of a technology company stock on the NASDAQ The age of his bull mastiff The number of female students in Mduduzi's Python class Which student's provided a continuous true zero variable? A. Lungani B. Lungani and Nsika C. Nsika D. Thembekile and Mduduzi
Statistics are widely used in Major League Baseball. Does a baseball player's batting average (AVG) determine their salary? The following is a chart of 25 baseball players' statistics from 2016. Let the explanatory variable x = AVG and the response variable y= Salary. Player RBI HR AVG Salary (in millions) Buster Posey 80 14 0.288 20.802 Mark Teixeira 44 15 0.204 23.125 Aaron Hill 38 10 0.262 12.000 Hunter Pence 57 13 0.289 18.500 Coco Crisp 55 13 0.231 11.000 Jacoby Ellsbury 56 9 0.263 21.143 Chris Davis 84 38 0.221 21.119 Jean Segura 64 20 0.320 2.600 Troy Tulowitzki 79 24 0.256 20.000 Justin Smoak 34 14 0.217 3.900 Leonys Martin 47 15 0.245 4.150 Hanley Ramirez 111 30 0.286 22.750 Adrian Beltre 104 32 0.300 18.000 Adrian Gonzalez 90 18 0.285 21.857 Adam Jones 83 29 0.265 16.000 Joe Mauer 49 11 0.261 23.000 Chris Iannetta 24 7 0.210 4.550 Curtis Granderson 59 30 0.237 16.000 Jason Heyward 49 7 0.230 21.667 Prince Fielder 44 8 0.212 18.000…
Five students taking a Business Statistics module at MANCOSA were asked to provide an example of a variable they have encountered in their day-to-day life. Their responses are as follows: Student Variable Lungani Nsika Thembekile Mduduzi The body temperature of a patient diagnosed with COVID-19 The price of a technology company stock on the NASDAQ The age of his bull mastiff The number of female students in Mduduzi's Python class Which student provided a variable which does not have a true zero? A. Nsika B. Lingani and Nsika C. Thembekile and Mduduzi D. Lungani
Scottish Hill Climb races We want to predict the record time for women in a Scottish Hill Climb race. There are two x variables to choose from, Distance and Climb. Here are the first few rows from the data table. Race Men (mins) Women(mins) Distance(km) Climb (m) Alva Games Hill Race 18.650 25.817 2.5 385 Aonach Mor Uphill Race 22.250 26.467 4.0 610 Arrochar Alps 187.650 249.433 25.0 2400 Once you have chosen the best single x variable to predict the record time for women, does it help to add the 2nd X variable? Here is the information for the two single x variables. Coefficients for Distance: Term Coef SE Coef T-Value P-Value Constant -7.15 3.32 -2.16 0.034 Distance(km) 6.765 0.246 27.55 0.000 Model Summary for Distance: R-sq R-sq(adj) R-sq(pred) 17.8222 89.72% 89.60% 88.19% Coefficients for Climb: Term Coef SE Coef T-Value P-Value Constant 2.60 4.20 0.62 0.538
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.
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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
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The residents of a housing development for senior citizens have completed a survey whereon they indicated how physically active they are and how many visitors they receive each week. Are these two varibles related for the 10 cases reported below?
Please answer the question on the photo.
Identify the explanatory variable and the response variable. A teacher wants to determine if the type of textbook used by her students can be used to predict the students' test scores. The explanatory variable is the The response variable is the teacher type of textbook students' test scores

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