a. What is the actual correlation between the two variables? b. How many participants were in the study? c. What is the percent of variance in likelihood to intervene that is explained by neighborhood contact? d. What is the slope (b) of the regression line? e. Can we conclude that neighborhood contact predicted the likelihood to intervene? (Enter "Yes' or 'No')
a. What is the actual correlation between the two variables? b. How many participants were in the study? c. What is the percent of variance in likelihood to intervene that is explained by neighborhood contact? d. What is the slope (b) of the regression line? e. Can we conclude that neighborhood contact predicted the likelihood to intervene? (Enter "Yes' or 'No')
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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Explain your answer for the criteria used to solve
![a. What is the actual correlation between the two variables?
b. How many participants were in the study?
c. What is the percent of variance in likelihood to intervene that is explained by neighborhood
contact?
d. What is the slope (b) of the regression line?
e. Can we conclude that neighborhood contact predicted the likelihood to intervene? (Enter
"Yes' or 'No')](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe6ada2ae-5df2-400f-a8e6-ab11eaac999c%2F4ff296dd-82e7-4694-856f-f14b233c7e11%2Fimrxy1d_processed.png&w=3840&q=75)
Transcribed Image Text:a. What is the actual correlation between the two variables?
b. How many participants were in the study?
c. What is the percent of variance in likelihood to intervene that is explained by neighborhood
contact?
d. What is the slope (b) of the regression line?
e. Can we conclude that neighborhood contact predicted the likelihood to intervene? (Enter
"Yes' or 'No')
![We conducted a linear regression analyses based on the full sample (note: not only the 8
participants reported above) of the study to examine whether friendship contact predicted
likelihood to intervene. Please fill in the blanks below to interpret this Jamovi output:
Linear Regression
Model Fit Measures
Overall Model Test
Model
R
R?
F
df1 df2
1
0.182 0.0330 5.60
1
164 0.019
Model Coefficients - Likelihood to Intervene
Predictor
Estimate
SE
t
Intercept
3.608
0.321 11.23 <.001
Friendship contact
0.298
0.126
2.37 0.019](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe6ada2ae-5df2-400f-a8e6-ab11eaac999c%2F4ff296dd-82e7-4694-856f-f14b233c7e11%2F9sjlq9_processed.png&w=3840&q=75)
Transcribed Image Text:We conducted a linear regression analyses based on the full sample (note: not only the 8
participants reported above) of the study to examine whether friendship contact predicted
likelihood to intervene. Please fill in the blanks below to interpret this Jamovi output:
Linear Regression
Model Fit Measures
Overall Model Test
Model
R
R?
F
df1 df2
1
0.182 0.0330 5.60
1
164 0.019
Model Coefficients - Likelihood to Intervene
Predictor
Estimate
SE
t
Intercept
3.608
0.321 11.23 <.001
Friendship contact
0.298
0.126
2.37 0.019
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