2 questions 6 an

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
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Author:Bruce Crauder, Benny Evans, Alan Noell
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Chapter3: Straight Lines And Linear Functions
Section3.CR: Chapter Review Exercises
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just need the answers to part 2 questions 6 and 7, i have attached my answers to part 1 questions 1-5

1)
3The yn
a2.333
4) hen l
5)
Transcribed Image Text:1) 3The yn a2.333 4) hen l 5)
Part 1: OLS basics
Consider the data in the table below.
Y
X
3
1
4
8
3
2
1
7
1. In the space below (or on a separate sheet of paper), plot all observations of the table
above and draw the OLS regression line. You can estimate the slope and constant of
the OLS regression line by hand, with Stata, or with Excel (you don’t have to show
your workings). Don’t forget to label the axes.
2. The slope coefficient for a regression of Y on X is
3. The constant of a regression of Y on X is
4. The residual for the first observation in the table is
5. The average value of the residuals is
Part 2: Variance of simple OLS slope estimator
6. Consider the formula for Var (ß,) from a simple regression below. For the regression
estimated in Part 1, what is the value of SST, ?
Var(ß,) =
SSTx
7. For the regression estimated in Part 1, what is the value of SST, ?
Transcribed Image Text:Part 1: OLS basics Consider the data in the table below. Y X 3 1 4 8 3 2 1 7 1. In the space below (or on a separate sheet of paper), plot all observations of the table above and draw the OLS regression line. You can estimate the slope and constant of the OLS regression line by hand, with Stata, or with Excel (you don’t have to show your workings). Don’t forget to label the axes. 2. The slope coefficient for a regression of Y on X is 3. The constant of a regression of Y on X is 4. The residual for the first observation in the table is 5. The average value of the residuals is Part 2: Variance of simple OLS slope estimator 6. Consider the formula for Var (ß,) from a simple regression below. For the regression estimated in Part 1, what is the value of SST, ? Var(ß,) = SSTx 7. For the regression estimated in Part 1, what is the value of SST, ?
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