9) We have a sample of 6 observations on exam scores and hours of study and would like to estimate the following relationship using the least-squares method: Score = Bo + Bi hours + e. We expect the score to increase with hours of study. Score 80 90 85 65 50 80 Hours 12 14 11 10 8 11 Σscore 450 Σλοurs 6, Σ hours. score 5085 , Σ score= 34850, Σhours 746 a. Estimate the unknown parameters using the method of OLS and find the least-squares prediction equation. b. Calculate SSF, R², standard error of the residuals (s), and standard error of slope coefficient (s3,). Construct and interpret a 90% confidence interval for Bi. c. Predict the score of a student who studies 9 hours for the exam, and construct and interpret a 90% confidence interval using the predicted value (prediction interval).

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9) We have a sample of 6 observations on exam scores and hours of study and would like to estimate the following
relationship using the least-squares method: Score = Bu + B, hours + e. We expect the score to increase with hours of study.
80 90 85 65 50 80
Score
Hours
12 14 11 10 8 11
Σ seore 450, Σ hours 66, Σ hours. score 5085, Σ score 34850 , Σhoursh 746
a. Estimate the unknown parameters using the method of OLS and find the least-squares prediction equation.
b. Calculate SSE, R2, standard error of the residuals (s), and standard error of slope coefficient (sa, ).
Construct and interpret a 90% confidence interval for B1.
c. Predict the score of a student who studies 9 hours for the exam, and construct and interpret a 90% confidence interval using
the predicted value (prediction interval).
Transcribed Image Text:9) We have a sample of 6 observations on exam scores and hours of study and would like to estimate the following relationship using the least-squares method: Score = Bu + B, hours + e. We expect the score to increase with hours of study. 80 90 85 65 50 80 Score Hours 12 14 11 10 8 11 Σ seore 450, Σ hours 66, Σ hours. score 5085, Σ score 34850 , Σhoursh 746 a. Estimate the unknown parameters using the method of OLS and find the least-squares prediction equation. b. Calculate SSE, R2, standard error of the residuals (s), and standard error of slope coefficient (sa, ). Construct and interpret a 90% confidence interval for B1. c. Predict the score of a student who studies 9 hours for the exam, and construct and interpret a 90% confidence interval using the predicted value (prediction interval).
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