106). With 66.9 and y=54.2, you obtainYou run a regression analysis on a bivariate set of data (n =the regression equationy =1.274x + 139.431with a correlation coefficient of r = - 0.122. You want to predict what value (on average) for theresponse variable will be obtained from a value of = 150 as the explanatory variable.What is the predicted response value?(Report answer accurate to one decimal place.)

Answered: with a correlation coefficient of…

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

Hello. How do you calculate this question on a TI-83? Thanks.
Suppose the correlation coefficient r=0.16 Find:a. The coefficient of determination r2= (round to 3 decimal places)b. The percentage of explained variation = % (round to 1 decimal place)c. The percentage of unexplained variation = % (round to 1 decimal place)
A random sample of college students was surveyed about how they spend their time each week. The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week. The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows: Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Since we are using hours spent working to help us predict hours spent watching TV, we’d call hours spent working a(n) __________________ variable and hours spent watching TV a(n) __________________ variable. The correlation coefficient, along with what we see in the scatterplot, tells us that the relationship between the variables has a direction that is _________________ and a strength that is ______________________. According to the…
Which of the following is the equation of the relationship between the predictor variable (x) and the response variable (y)? A y = 25.707 + 0.9887xB y = 29.796 + 0.5897xC y = 25.707 + 0.5897xD y = 29.796 + 0.9887x
Please see question details in attached picture.
NEW STUDY: A researcher is interested in the relationship between levels of stress at work and self-reports of overall health. Stress at work is measured on a scale from 0 (no stress at work) to 100 (extreme levels of stress at work). The researcher conducts a study with 11 subjects and determines that the relationship between self-reports of stress and self-reports of overall heath is r = -.41. Which test was conducted for this study? Group of answer choices z-test t-test correlation chi-square
Q6 Given a data set where the response variable is normalized ( centered ) and it is know that the correlation between the individual predictor variable & response variable is, r 0.9. And, it is found that S,-10 and X=100. (i) Find B= a. Write the formula for B= (ii) Find B= (iii) (iv) Find the value the predictor, which yields the response variable to be 1 X Q7 There are several assumptions which are needed to be verified prior to using a univariate regression model and/or doing any traditional model analysis ( e.g. need to verify these assumptions prior to doing the actual regression or F/T tests etc ). Write down the two most essential mathematical assumptions needed by explaining them in a brief written statement (i) 1" = (ii) 2* = answer both questions plese
Please answer each item with the following
I need the answer with explaination
Below is a subset of the data on quality of marriage and quality of parent-child relationship. Using the data provided below, calculate the correlation between the two variables. You should calculate the correlation "by hand" and show your work that led to the solution (take a picture of your hand-written notes and insert it into this document) Quality of marriage Quality of parent-child relationship 1 5 2

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

with a correlation coefficient of r=-0.122. You want to predict what value (on average) for the response variable will be obtained from a value of x = 150 as the explanatory variable. What is the predicted response value? y = (Report answer accurate to one decimal place.)