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ISDS COPE FINAL EXAM QUESTIONS WITH REVISED ANSWERS UPDATED

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ISDS COPE FINAL EXAM QUESTIONS WITH REVISED ANSWERS UPDATED Which of the following is the standard error of the estimate? A. 0.82 B. 0.86 C. 0.92 D. 0.96 - Answer-D. 0.96 When estimating = β0 + β1x1 + β2x2 +ε, the following regression results using ANOVA were obtained. df...

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  • September 2, 2024
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  • 2024/2025
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  • ISDS COPE
  • ISDS COPE
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ISDS COPE FINAL EXAM QUESTIONS
WITH REVISED ANSWERS UPDATED

Which of the following is the standard error of the estimate?

A. 0.82

B. 0.86

C. 0.92

D. 0.96 - Answer-D. 0.96

When estimating = β0 + β1x1 + β2x2 +ε, the following regression results using ANOVA
were obtained.

df SS MS. F
Regression 2 210.9 105.5. 114.7
Residual 17. 15.6 0.92
Total. 19 226.5
Coefficients Standard Error t-stat p-value
Intercept −1.6 0.57 −2.77 0.0132
x1 −0.5. 0.04. −15.11 2.77E-11
x2 0.1 0.07. 1.89. 0.0753

Which of the following is the adjusted R2?


A. 0.82

B. 0.86

C. 0.92

D. 0.96 - Answer-C. 0.92

Consider the following simple linear regression model: y = β0 + β1x + ε. When
determining whether x significantly influences y, the null hypothesis takes the form
______________.

, A. H0:β1 = 0

B. H0:β1 = 1

C. H0:b1 = 0

D. H0:b1 = 1 - Answer-A. H0:β1 = 0

Consider the following simple linear regression model: y = β0 + β1x + ε. When
determining whether there is a one-to-one relationship between x and y, the null
hypothesis takes the form ______________.

A. H0:β1 = 0

B. H0:β1 = 1

C. H0:b1 = 0

D. H0:b1 = 1 - Answer-B. H0:β1 = 1

Consider the following simple linear regression model: y = β0 + β1x + ε. When
determining whether there is a positive linear relationship between x and y, the
alternative hypothesis takes the form ______________.

A. HA:β1 = 0

B. HA:β1 > 1

C. HA:β1 < 0

D. HA:b1 > 1 - Answer-B. HA:β1 > 1

Consider the following simple linear regression model: y = β0 + β1x + ε. When
determining whether there is a negative linear relationship between x and y, the
alternative hypothesis takes the form ______________.

A. HA:β1 = 0

B. HA:β1 > 0

C. HA:b1 < 0

D. HA:b1 > 0 - Answer-C. HA:b1 < 0

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