Table 1. Regression Analysis Summary for IQ Predicting Job Performance. 95% CI ß Variable (Constant) IQ test score B 34.26 0.64 [-30.05 98.57] [0.00,1.28] Note. R²adjusted = 0.33. Cl = confidence interval for B. 0.63 t 1.23 2.32 р 0.254 0.049
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![Question 2
Table 1.
Regression Analysis Summary for IQ Predicting Job Performance.
Variable
ß
(Constant)
IQ test
score
B
34.26
0.64
95% CI
[-30.05 98.57]
[0.00,1.28]
Note. R²adjusted = 0.33. Cl = confidence interval for B.
0.63
t
1.23
2.32
р
0.254
0.049](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F26e61014-1bb7-48ab-b24f-119c85a3850e%2F9fec18a9-10c4-4870-9a68-bd44d9f71176%2F8kctwim_processed.png&w=3840&q=75)
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- Last dog Based on the regression output seen in Exer-cise 17, create a 95% confidence interval for the slope of the regression line and interpret your interval in context.• In a political science class, the teacher gives a midterm exam and a final. The association between midterm and final scores is linear. The summary statistics are shown below. Midterm Mean=75, Midterm Standard Deviation=10 Final Mean=75, Final Standard Deviation=10 r=0.8 According to the regression equation, for a student who gets 85 on the midterm (one standard deviation above average) what is the predicted final exam grade? 83 85 70 75Develop the relationship between correlation coefficient and regression coefficient. Mention the applications of correlation and regression.
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