Researchers ran a multiple linear regression to determine if belief accuracy in a political claim when given misinformation was related to the following independent variables: One’s level of anger (coded low = 0, high = 1) One’s level of anxiety (coded low = 0, high = 1) Whether the source of misinformation about the claim came from their own political party (in-party, coded from the other party = 0, from their party = 1) Whether or not a correction of misinformation was made (coded correction without evidence = 0, correction with evidence = 1) One’s political knowledge (continuous measurement from 0-4) One of the two issues in question (coded illegal immigration = 0, death penalty = 1) In Model 1, B = 0.015 for political knowledge. How would one interpret this? In Model 1, B = 0.78 for correction. How would one interpret this? Write out the regression equation for Model 1. Belief accuracy score (predicted) = Suppose someone has high anger and anxiety, a political knowledge score of 3, and the source of misinformation about a death penalty issue came from the other party and a correction was made (with evidence). According to Model 1, what would their predicted belief score be? How much did the model improve by adding some interaction terms (going from Model 1 to Model 2)? In Model 2, the interaction term of Anxiety x In-Party has B = 0.63. How would one interpret this? The Adjusted R2 for Model 3 is 0.193. How would one interpret this? In putting together a final model, would you want to remove any variables from Model 3? Why or why not? They did not report standardized regression coefficients (β’s). What would the standardized regression coefficients have told us?
Researchers ran a multiple linear regression to determine if belief accuracy in a political claim when given misinformation was related to the following independent variables: One’s level of anger (coded low = 0, high = 1) One’s level of anxiety (coded low = 0, high = 1) Whether the source of misinformation about the claim came from their own political party (in-party, coded from the other party = 0, from their party = 1) Whether or not a correction of misinformation was made (coded correction without evidence = 0, correction with evidence = 1) One’s political knowledge (continuous measurement from 0-4) One of the two issues in question (coded illegal immigration = 0, death penalty = 1) In Model 1, B = 0.015 for political knowledge. How would one interpret this? In Model 1, B = 0.78 for correction. How would one interpret this? Write out the regression equation for Model 1. Belief accuracy score (predicted) = Suppose someone has high anger and anxiety, a political knowledge score of 3, and the source of misinformation about a death penalty issue came from the other party and a correction was made (with evidence). According to Model 1, what would their predicted belief score be? How much did the model improve by adding some interaction terms (going from Model 1 to Model 2)? In Model 2, the interaction term of Anxiety x In-Party has B = 0.63. How would one interpret this? The Adjusted R2 for Model 3 is 0.193. How would one interpret this? In putting together a final model, would you want to remove any variables from Model 3? Why or why not? They did not report standardized regression coefficients (β’s). What would the standardized regression coefficients have told us?
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter12: Probability
Section12.4: Discrete Random Variables; Applications To Decision Making
Problem 28E
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Researchers ran a multiple linear regression to determine if belief accuracy in a political claim when given misinformation was related to the following independent variables:
- One’s level of anger (coded low = 0, high = 1)
- One’s level of anxiety (coded low = 0, high = 1)
- Whether the source of misinformation about the claim came from their own political party (in-party, coded from the other party = 0, from their party = 1)
- Whether or not a correction of misinformation was made (coded correction without evidence = 0, correction with evidence = 1)
- One’s political knowledge (continuous measurement from 0-4)
- One of the two issues in question (coded illegal immigration = 0, death penalty = 1)
- In Model 1, B = 0.015 for political knowledge. How would one interpret this?
- In Model 1, B = 0.78 for correction. How would one interpret this?
- Write out the regression equation for Model 1.
Belief accuracy score (predicted) =
- Suppose someone has high anger and anxiety, a political knowledge score of 3, and the source of misinformation about a death penalty issue came from the other party and a correction was made (with evidence). According to Model 1, what would their predicted belief score be?
- How much did the model improve by adding some interaction terms (going from Model 1 to Model 2)?
- In Model 2, the interaction term of Anxiety x In-Party has B = 0.63. How would one interpret this?
- The Adjusted R2 for Model 3 is 0.193. How would one interpret this?
- In putting together a final model, would you want to remove any variables from Model 3? Why or why not?
- They did not report standardized regression coefficients (β’s). What would the standardized regression coefficients have told us?
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