if one of my research variables is exercise (explanatory) can my response variable be BMI? if...
if one of my research variables is exercise (explanatory) can my response variable be BMI? if not, what can be my response variable?
Homework Answers
Yes, When explanatory or independent variable is exercise, then we assume BMI to be dependent or response variable. This is because we know that Body mass index or BMI is the equal to body weight divided by square of height of a person.
Body weight depends upon the exercise. So, BMI or body mass index also depend upon exercise becaue height of a person is fixed after a certain age limit, but body weight always keep changing depending upon the amount of exercise performed.
So, we can say that when explanatory variable is exercise, we can
say response variable to BMI.
Add Answer to:
if one of my research variables is exercise
(explanatory) can my response variable be BMI? if...
4. The following table lists the explanatory variables used to explain the response variable breastfeeding. The...
4. The following table lists the explanatory variables used to explain the response variable breastfeeding. The response variable was binary (Y/N), did the mother breastfeed or not. All possible categories for the explanatory variables are listed below as well. Variable Education Categories High school or lower Some college Undergraduate degree Graduate Degree Full Time Part Time Cesarean Natural Work Status Method of delivery The following 95% confidence intervals of the odds ratios were generated once the logistic regression model was...
Exercise 17-27 Algo Consider a binary response variable y and an explanatory variable x that varies...
Exercise 17-27 Algo Consider a binary response variable y and an explanatory variable x that varies between 0 and 4. The linear model is estimated as yˆy^ = −1.18 + 0.63x. a. Compute the estimated probability for x = 2 and x = 3. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) b. For what values of x is the estimated probability negative or greater than one? (Round your answers to 2...
Take this form of linear model: Find a transformation of the explanatory variables and/or the response...
Take this form of linear model: Find a transformation of the explanatory variables and/or the response variable, which achieves a linear model for the following:
1. In general, how can someone discern the difference between a response variable and an explanatory...
1. In general, how can someone discern the difference between a response variable and an explanatory variable?
Use the following linear regression equation to answer the questions. x1 = 1.5 + 3.4x2 – 8.3x3 + 2.3x4 (a) Which variable is the response variable? Which variables are the explanatory variables? (b...
Use the following linear regression equation to answer the questions. x1 = 1.5 + 3.4x2 – 8.3x3 + 2.3x4 (a) Which variable is the response variable? Which variables are the explanatory variables? (b) Which number is the constant term? List the coefficients with their corresponding explanatory variables. constant? x2 coefficient? x3 coefficient? x4 coefficient? (c) If x2 = 1, x3 = 8, and x4 = 6, what is the predicted value for x1? (Use 1 decimal place.) (d) Explain how...
What is/are constant(s) within an experiment? Select one: a. Response (dependent) variables which must be kept...
What is/are constant(s) within an experiment? Select one: a. Response (dependent) variables which must be kept the same throughout the experiment. b. Any variable, other than the explanatory (independent) variable, which is/are kept the same between treatments. c. Variables, other than the response (dependent variable), which are varied throughout the experiment. d. Explanatory (independent) variables which require controls.
When two explanatory variables are highly correlated, should you remove one of the correlated explanatory variables...
When two explanatory variables are highly correlated, should you remove one of the correlated explanatory variables to reduce the multicollinearity problem. A. Yes, it will reduce the standard errors on the coefficients and increase the t statistics. B. No, it will not affect the t statistics on the coefficients. C. No, it will cause the coefficient on the remaining variable to be biased. D. Yes, it will improve the fit of the regression model.
In regression, we call Y the response or dependent variable, which is modeled in terms of...
In regression, we call Y the response or dependent variable, which is modeled in terms of one or more "independent" variables. The independent variables are further classified as explanatory/causal variables or as predictor variables. Discuss and elaborate on whether or not time can be a legitimate explanatory/causal variable, whether time can be a legitimate predictor variable whether a predictor variable must also be a causal/explanatory variable. Provide examples to support your arguments.
Consider a binary response variable y and two explanatory variables x1 and x2. The following table...
Consider a binary response variable y and two explanatory variables x1 and x2. The following table contains the parameter estimates of the linear probability model (LPM) and the logit model, with the associated p-values shown in parentheses. Variable LPM Logit Constant −0.60 −2.50 0.02 (0.03 ) x1 0.28 0.99 (0.06 ) (0.06 ) x2 −0.06 −0.30 (0.03 ) (0.06 ) a. At the 5% significance level, comment on the significance of the variables for both models. Variable LPM Logit x1...
The coefficients for logarithmically transformed explanatory variables when the dependent variable is alsologarithmically transformed should be...
The coefficients for logarithmically transformed explanatory variables when the dependent variable is alsologarithmically transformed should be interpreted as the percent change in the dependent variable for a 1% percent change in the explanatory variable. True or false
4. The following table lists the explanatory variables used to explain the response variable breastfeeding. The response variable was binary (Y/N), did the mother breastfeed or not. All possible categories for the explanatory variables are listed below as well. Variable Education Categories High school or lower Some college Undergraduate degree Graduate Degree Full Time Part Time Cesarean Natural Work Status Method of delivery The following 95% confidence intervals of the odds ratios were generated once the logistic regression model was...
Take this form of linear model: Find a transformation of the explanatory variables and/or the response variable, which achieves a linear model for the following:
Most questions answered within 3 hours.
-
A solid, uniform disk of radius 0.250 m and mass 53.7 kg rolls
down a ramp...
asked 52 minutes ago -
Given the following table of high speed internet access vs.
annual home income:
Home Income
%...
asked 1 hour ago -
A baseball batter hits a 0.145kg baseball straight up into the
air. The baseball leaves the...
asked 1 hour ago -
An FM modulator is tested using
single-tone baseband signal with frequency of 50kHz and a sprectrum...
asked 2 hours ago -
Write the ionic equations for the first stage of salts
hydrolysis.
Anion, Cation?
Na2S
NiSO4
K2SO4...
asked 3 hours ago -
suppose there is a normally distributed population with a mean of
250 and a standard deviation...
asked 4 hours ago -
Question Three
Suppose you as project manager are using the Waterfall
development methodology on a large...
asked 5 hours ago -
Which statement is not true about welfare in Canada?
A.Benefits typically vary based on one's ability...
asked 5 hours ago -
Please help me with FLOWCHART and UML diagram for class,
thank you!
#include <iostream>
#include <fstream>...
asked 6 hours ago -
3. Describe the “logic circuit” of the Lac operon. Which
proteins are bound or not to...
asked 6 hours ago -
Ayesha’s adjusted gross income is $60,000 in 2019. She donated a
piece of artwork with a...
asked 6 hours ago -
For Dijkstra’s shortest path algorithm:
a. Give the Big-O time for Dijkstra’s shortest path algorithm
and...
asked 7 hours ago