1. Using the following output, what is the structure coefficient between Score o
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Question
1. Using the following output, what is the structure coefficient between Score on a Reading Test (IV1) and minutes spent watching TV (the predicted DV)? (Round to 2 decimal places)
2. Lucy wants to determine if how much a person enjoys skydiving is related to how much they enjoy taking risks in other parts of their lives. However, she anticipates that how fearful a person is of heights would affect enjoyment of skydiving. Therefore, she wants to remove the variance contributed by Fear of Heights from Enjoyment of Skydiving when assessing the relationship between Enjoyment of Skydiving and Risk Taking. What kind of correlation should she use?
3. Jerry enters 4 independent variables into a regression equation to start. He tells you that even though he put 4 IVs in, he knows that the regression will remove or re-add the variables as appropriate, and his final regression may even only have 1 of the IVs left. What kind of regression did Jerry run?
Model Summary Adjusted R Square Std. Error of the Estimate Model R Square 983 966 963 5.354 a. Predictors: (Constant), Score on a Reading Test, Minutes Spent Studying Correlations Minutes Spent Minutes Spent Studying Score on a Watching TV 1.000 Reading Test .966 Pearson Correlation Minutes Spent Watching .982 TV Minutes Spent Studying Score on a Reading Test Minutes Spent Watching 982 966 1.000 986 986 1.000 Sig. (1-tailed) TV Minutes Spent Studying Score on a Reading Test Minutes Spent Watching 25 25 25 TV Minutes Spent Studying Score on a Reading Test 25 25 25 25 25 25Explanation / Answer
1) The structure coefficient between Score on a Reading test and Minutes spend in Watching TV is -0.97 . i.e As Score on a Reading test increases then Minutes spend in watching TV decreases or as Score on a Reading test decreases then Minutes spend in watching TV has increased .Thus there highly negative correlation between Score on a Reading test and Minutes spend in Watching TV.
2) Lucy can use Pearson's correlation coefficient to calculate relationship between Enjoyment of Skydiving and Risk Taking because Pearson's correlation coefficient considers only two variables while calculating relationship so the variance of Fear of height is not considered .
3) Jerry runs Enter method of regression. In that method of regression independent variables are removed or added and only necessary IVs are left on which the dependent variable is dependent .
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