4. Researcher is using data for a sample of 100 household to estimate the relation between daily consumption expenditure and income in dire dawa city Sabina kebele. Preliminary analysis of the sample data produces the following data. Σ+ - 7000, Σx - 10000, Σ× - 1000 2- 20000 20 - Y Where x=X₁ - X₁ and y=Y-Y b) Use the above information to compute OLS estimates of the intercept and slope coefficients and interpret the result. c) Calculate the variance of the slope
4. Researcher is using data for a sample of 100 household to estimate the relation between daily consumption expenditure and income in dire dawa city Sabina kebele. Preliminary analysis of the sample data produces the following data. Σ+ - 7000, Σx - 10000, Σ× - 1000 2- 20000 20 - Y Where x=X₁ - X₁ and y=Y-Y b) Use the above information to compute OLS estimates of the intercept and slope coefficients and interpret the result. c) Calculate the variance of the slope
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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A10
![4. Researcher is using data for a sample of 100 household to
estimate the relation between daily consumption expenditure
and income in dire dawa city Sabina kebele. Preliminary
analysis of the sample data produces the following data.
Σ+ - 7000, Σx - 10000, Σ× - 1000
2- 20000 20 - Y
Where
x=X₁ - X₁ and y=Y-Y
b) Use the above information to compute OLS estimates of
the intercept and slope coefficients and interpret the result.
c) Calculate the variance of the slope](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd73ebe4a-d087-48a8-9f96-6580ccd12fab%2Fd08a5635-2bd5-46c3-ab82-fab8acafaec2%2F01yhuoi_processed.jpeg&w=3840&q=75)
Transcribed Image Text:4. Researcher is using data for a sample of 100 household to
estimate the relation between daily consumption expenditure
and income in dire dawa city Sabina kebele. Preliminary
analysis of the sample data produces the following data.
Σ+ - 7000, Σx - 10000, Σ× - 1000
2- 20000 20 - Y
Where
x=X₁ - X₁ and y=Y-Y
b) Use the above information to compute OLS estimates of
the intercept and slope coefficients and interpret the result.
c) Calculate the variance of the slope
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