2. Suppose we want to examine the relationship between the number of hours studied and the score achieved on a Quantitative Methods exam. We collect data from 10 students and obtain the following results: Hours Studied (X) 4 9 8 7 3 2 Quantitative Methods(Y) 15 36 84 80 60 20 22 a. Using simple linear regression, estimate the equation of the line that best fits the data and predict the Quantitative Methods score for a student who studies for 10 hours. b. Calculate the SST, SSR, SSE, MSE, R² and adjust R²
2. Suppose we want to examine the relationship between the number of hours studied and the score achieved on a Quantitative Methods exam. We collect data from 10 students and obtain the following results: Hours Studied (X) 4 9 8 7 3 2 Quantitative Methods(Y) 15 36 84 80 60 20 22 a. Using simple linear regression, estimate the equation of the line that best fits the data and predict the Quantitative Methods score for a student who studies for 10 hours. b. Calculate the SST, SSR, SSE, MSE, R² and adjust R²
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 17HP
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