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

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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)
1
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
Transcribed Image Text: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) 1 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
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